24 jobs found in london

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice; we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Cloud Architect - AWS Kubernetes (EKS), you will make an impact by designing secure, resilient and scalable container platforms for a UK government law enforcement cloud programme. You will be a valued member of a dedicated EKS architecture team, working collaboratively with the client Head of Architecture, engineering teams and multidisciplinary stakeholders. In this role, you will: Architect highly available, scalable and secure container solutions on AWS using Amazon EKS, ECS and Fargate, aligned with client architecture and security standards. Lead the configuration, deployment and ongoing evolution of Kubernetes and container environments, with a strong focus on operational security, resilience, multi-tenancy and high availability. Build reusable infrastructure using Terraform and AWS CloudFormation, embedding security, compliance and repeatable deployment practices into the platform. Design secure CI/CD approaches for containerized workloads, including traceability, rollback and controlled artefact management using tools such as Jenkins, GitLab and AWS CodePipeline. Establish effective monitoring, logging and incident-management capabilities using CloudWatch, Prometheus, Grafana and the ELK stack, while advising stakeholders on AWS container best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at client or Cognizant locations in London and Croydon as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What you must have to be considered Five or more years of experience in AWS cloud architecture, including substantial hands-on delivery with Kubernetes and Amazon EKS. Advanced knowledge of AWS services and networking, including EC2, VPC, IAM and Route 53, with experience designing secure VPCs, subnetting models and least-privilege access controls. Practical experience with Amazon ECS and Fargate, including container networking, load balancing and microservices-based architectures. Strong infrastructure-as-code and automation capability using Terraform, AWS CloudFormation or comparable tools, together with experience building CI/CD pipelines for containerized applications. Active SC and NPPV3 clearance, or the willingness and ability to obtain both, plus the ability to work effectively in a regulated UK public-sector environment. These will help you succeed Knowledge of UK public-sector cloud security and compliance expectations, including the NCSC Cloud Security Principles, GDPR and ISO 27001. Experience implementing secure secrets management, Kubernetes security policies, network policies and controls for multi-tenant platforms. Knowledge of observability and centralized logging using CloudWatch, Prometheus, Grafana and ELK in high-security environments. Strong analytical and problem-solving skills, with the ability to create resilient solutions and manage technical ambiguity with accountability. Clear communication and collaborative stakeholder-management skills, including the ability to explain complex architecture decisions to technical and non-technical audiences. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice; we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Cloud Architect - AWS Kubernetes (EKS), you will make an impact by designing secure, resilient and scalable container platforms for a UK government law enforcement cloud programme. You will be a valued member of a dedicated EKS architecture team, working collaboratively with the client Head of Architecture, engineering teams and multidisciplinary stakeholders. In this role, you will: Architect highly available, scalable and secure container solutions on AWS using Amazon EKS, ECS and Fargate, aligned with client architecture and security standards. Lead the configuration, deployment and ongoing evolution of Kubernetes and container environments, with a strong focus on operational security, resilience, multi-tenancy and high availability. Build reusable infrastructure using Terraform and AWS CloudFormation, embedding security, compliance and repeatable deployment practices into the platform. Design secure CI/CD approaches for containerized workloads, including traceability, rollback and controlled artefact management using tools such as Jenkins, GitLab and AWS CodePipeline. Establish effective monitoring, logging and incident-management capabilities using CloudWatch, Prometheus, Grafana and the ELK stack, while advising stakeholders on AWS container best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at client or Cognizant locations in London and Croydon as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What you must have to be considered Five or more years of experience in AWS cloud architecture, including substantial hands-on delivery with Kubernetes and Amazon EKS. Advanced knowledge of AWS services and networking, including EC2, VPC, IAM and Route 53, with experience designing secure VPCs, subnetting models and least-privilege access controls. Practical experience with Amazon ECS and Fargate, including container networking, load balancing and microservices-based architectures. Strong infrastructure-as-code and automation capability using Terraform, AWS CloudFormation or comparable tools, together with experience building CI/CD pipelines for containerized applications. Active SC and NPPV3 clearance, or the willingness and ability to obtain both, plus the ability to work effectively in a regulated UK public-sector environment. These will help you succeed Knowledge of UK public-sector cloud security and compliance expectations, including the NCSC Cloud Security Principles, GDPR and ISO 27001. Experience implementing secure secrets management, Kubernetes security policies, network policies and controls for multi-tenant platforms. Knowledge of observability and centralized logging using CloudWatch, Prometheus, Grafana and ELK in high-security environments. Strong analytical and problem-solving skills, with the ability to create resilient solutions and manage technical ambiguity with accountability. Clear communication and collaborative stakeholder-management skills, including the ability to explain complex architecture decisions to technical and non-technical audiences. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. We are looking for our next colleague to help shape the future of business. Could it be you? About the role As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. You will be a valued member of the NCDS team, working collaboratively with the Cognizant Engagement Lead, delivery teams, senior client stakeholders and enterprise architecture colleagues. In this role, you will Own the end-to-end AWS solution architecture for the NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with adjacent AWS services and modern data platforms, while resolving complex cross-team architectural risks and dependencies. Define and embed governance, security, data protection and architecture assurance controls; chair Technical Design Authority reviews and lead designs through formal stakeholder approval. Act as the senior technical authority for AWS architecture decisions, communicate complex strategy clearly to technical and non-technical audiences, and mentor architects and engineers. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, with a combination of remote working and attendance at a Cognizant or client location as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programmes. What you must have to be considered At least eight years of experience in solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance, security and data protection controls. A strong track record of integrating AWS architectures with modern data platforms such as Databricks Lakehouse or Delta Lake, and resolving complex cross-team architecture issues. Experience chairing or presenting at a Technical Design Authority or equivalent architecture governance forum, securing approval for complex designs and engaging senior client stakeholders. The communication and leadership capability to guide and mentor other architects and engineers. These will help you succeed AWS Certified Solutions Architect - Professional. Databricks Data Engineer Professional or Architect-level certification. Experience working in regulated or public-sector environments, particularly national data or research programmes. Experience defining enterprise or reference architecture, supported by a framework such as TOGAF. A forward-looking, proactive approach to identifying architectural risks and communicating clear recommendations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply if you meet the essential requirements. Your transferable experience and unique skills may bring valuable perspectives to this role. What we offer The opportunity to lead architecture for a high-profile, national-scale data programme. The ability to shape enterprise AWS architecture strategy and influence a growing architecture practice. A collaborative and inclusive team environment, with opportunities to mentor colleagues. Competitive Cognizant benefits, including pension, private healthcare and wellbeing support. Flexible and hybrid working arrangements aligned with project and client requirements. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. We are looking for our next colleague to help shape the future of business. Could it be you? About the role As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. You will be a valued member of the NCDS team, working collaboratively with the Cognizant Engagement Lead, delivery teams, senior client stakeholders and enterprise architecture colleagues. In this role, you will Own the end-to-end AWS solution architecture for the NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with adjacent AWS services and modern data platforms, while resolving complex cross-team architectural risks and dependencies. Define and embed governance, security, data protection and architecture assurance controls; chair Technical Design Authority reviews and lead designs through formal stakeholder approval. Act as the senior technical authority for AWS architecture decisions, communicate complex strategy clearly to technical and non-technical audiences, and mentor architects and engineers. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, with a combination of remote working and attendance at a Cognizant or client location as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programmes. What you must have to be considered At least eight years of experience in solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance, security and data protection controls. A strong track record of integrating AWS architectures with modern data platforms such as Databricks Lakehouse or Delta Lake, and resolving complex cross-team architecture issues. Experience chairing or presenting at a Technical Design Authority or equivalent architecture governance forum, securing approval for complex designs and engaging senior client stakeholders. The communication and leadership capability to guide and mentor other architects and engineers. These will help you succeed AWS Certified Solutions Architect - Professional. Databricks Data Engineer Professional or Architect-level certification. Experience working in regulated or public-sector environments, particularly national data or research programmes. Experience defining enterprise or reference architecture, supported by a framework such as TOGAF. A forward-looking, proactive approach to identifying architectural risks and communicating clear recommendations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply if you meet the essential requirements. Your transferable experience and unique skills may bring valuable perspectives to this role. What we offer The opportunity to lead architecture for a high-profile, national-scale data programme. The ability to shape enterprise AWS architecture strategy and influence a growing architecture practice. A collaborative and inclusive team environment, with opportunities to mentor colleagues. Competitive Cognizant benefits, including pension, private healthcare and wellbeing support. Flexible and hybrid working arrangements aligned with project and client requirements. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice; we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Cloud Architect - AWS Kubernetes (EKS), you will make an impact by designing secure, resilient and scalable container platforms for a UK government law enforcement cloud programme. You will be a valued member of a dedicated EKS architecture team, working collaboratively with the client Head of Architecture, engineering teams and multidisciplinary stakeholders. In this role, you will: Architect highly available, scalable and secure container solutions on AWS using Amazon EKS, ECS and Fargate, aligned with client architecture and security standards. Lead the configuration, deployment and ongoing evolution of Kubernetes and container environments, with a strong focus on operational security, resilience, multi-tenancy and high availability. Build reusable infrastructure using Terraform and AWS CloudFormation, embedding security, compliance and repeatable deployment practices into the platform. Design secure CI/CD approaches for containerized workloads, including traceability, rollback and controlled artefact management using tools such as Jenkins, GitLab and AWS CodePipeline. Establish effective monitoring, logging and incident-management capabilities using CloudWatch, Prometheus, Grafana and the ELK stack, while advising stakeholders on AWS container best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at client or Cognizant locations in London and Croydon as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What you must have to be considered Five or more years of experience in AWS cloud architecture, including substantial hands-on delivery with Kubernetes and Amazon EKS. Advanced knowledge of AWS services and networking, including EC2, VPC, IAM and Route 53, with experience designing secure VPCs, subnetting models and least-privilege access controls. Practical experience with Amazon ECS and Fargate, including container networking, load balancing and microservices-based architectures. Strong infrastructure-as-code and automation capability using Terraform, AWS CloudFormation or comparable tools, together with experience building CI/CD pipelines for containerized applications. Active SC and NPPV3 clearance, or the willingness and ability to obtain both, plus the ability to work effectively in a regulated UK public-sector environment. These will help you succeed Knowledge of UK public-sector cloud security and compliance expectations, including the NCSC Cloud Security Principles, GDPR and ISO 27001. Experience implementing secure secrets management, Kubernetes security policies, network policies and controls for multi-tenant platforms. Knowledge of observability and centralized logging using CloudWatch, Prometheus, Grafana and ELK in high-security environments. Strong analytical and problem-solving skills, with the ability to create resilient solutions and manage technical ambiguity with accountability. Clear communication and collaborative stakeholder-management skills, including the ability to explain complex architecture decisions to technical and non-technical audiences. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice; we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Cloud Architect - AWS Kubernetes (EKS), you will make an impact by designing secure, resilient and scalable container platforms for a UK government law enforcement cloud programme. You will be a valued member of a dedicated EKS architecture team, working collaboratively with the client Head of Architecture, engineering teams and multidisciplinary stakeholders. In this role, you will: Architect highly available, scalable and secure container solutions on AWS using Amazon EKS, ECS and Fargate, aligned with client architecture and security standards. Lead the configuration, deployment and ongoing evolution of Kubernetes and container environments, with a strong focus on operational security, resilience, multi-tenancy and high availability. Build reusable infrastructure using Terraform and AWS CloudFormation, embedding security, compliance and repeatable deployment practices into the platform. Design secure CI/CD approaches for containerized workloads, including traceability, rollback and controlled artefact management using tools such as Jenkins, GitLab and AWS CodePipeline. Establish effective monitoring, logging and incident-management capabilities using CloudWatch, Prometheus, Grafana and the ELK stack, while advising stakeholders on AWS container best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at client or Cognizant locations in London and Croydon as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What you must have to be considered Five or more years of experience in AWS cloud architecture, including substantial hands-on delivery with Kubernetes and Amazon EKS. Advanced knowledge of AWS services and networking, including EC2, VPC, IAM and Route 53, with experience designing secure VPCs, subnetting models and least-privilege access controls. Practical experience with Amazon ECS and Fargate, including container networking, load balancing and microservices-based architectures. Strong infrastructure-as-code and automation capability using Terraform, AWS CloudFormation or comparable tools, together with experience building CI/CD pipelines for containerized applications. Active SC and NPPV3 clearance, or the willingness and ability to obtain both, plus the ability to work effectively in a regulated UK public-sector environment. These will help you succeed Knowledge of UK public-sector cloud security and compliance expectations, including the NCSC Cloud Security Principles, GDPR and ISO 27001. Experience implementing secure secrets management, Kubernetes security policies, network policies and controls for multi-tenant platforms. Knowledge of observability and centralized logging using CloudWatch, Prometheus, Grafana and ELK in high-security environments. Strong analytical and problem-solving skills, with the ability to create resilient solutions and manage technical ambiguity with accountability. Clear communication and collaborative stakeholder-management skills, including the ability to explain complex architecture decisions to technical and non-technical audiences. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. We are looking for our next colleague to help shape the future of business. Could it be you? About the role As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. You will be a valued member of the NCDS team, working collaboratively with the Cognizant Engagement Lead, delivery teams, senior client stakeholders and enterprise architecture colleagues. In this role, you will Own the end-to-end AWS solution architecture for the NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with adjacent AWS services and modern data platforms, while resolving complex cross-team architectural risks and dependencies. Define and embed governance, security, data protection and architecture assurance controls; chair Technical Design Authority reviews and lead designs through formal stakeholder approval. Act as the senior technical authority for AWS architecture decisions, communicate complex strategy clearly to technical and non-technical audiences, and mentor architects and engineers. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, with a combination of remote working and attendance at a Cognizant or client location as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programmes. What you must have to be considered At least eight years of experience in solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance, security and data protection controls. A strong track record of integrating AWS architectures with modern data platforms such as Databricks Lakehouse or Delta Lake, and resolving complex cross-team architecture issues. Experience chairing or presenting at a Technical Design Authority or equivalent architecture governance forum, securing approval for complex designs and engaging senior client stakeholders. The communication and leadership capability to guide and mentor other architects and engineers. These will help you succeed AWS Certified Solutions Architect - Professional. Databricks Data Engineer Professional or Architect-level certification. Experience working in regulated or public-sector environments, particularly national data or research programmes. Experience defining enterprise or reference architecture, supported by a framework such as TOGAF. A forward-looking, proactive approach to identifying architectural risks and communicating clear recommendations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply if you meet the essential requirements. Your transferable experience and unique skills may bring valuable perspectives to this role. What we offer The opportunity to lead architecture for a high-profile, national-scale data programme. The ability to shape enterprise AWS architecture strategy and influence a growing architecture practice. A collaborative and inclusive team environment, with opportunities to mentor colleagues. Competitive Cognizant benefits, including pension, private healthcare and wellbeing support. Flexible and hybrid working arrangements aligned with project and client requirements. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. We are looking for our next colleague to help shape the future of business. Could it be you? About the role As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. You will be a valued member of the NCDS team, working collaboratively with the Cognizant Engagement Lead, delivery teams, senior client stakeholders and enterprise architecture colleagues. In this role, you will Own the end-to-end AWS solution architecture for the NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with adjacent AWS services and modern data platforms, while resolving complex cross-team architectural risks and dependencies. Define and embed governance, security, data protection and architecture assurance controls; chair Technical Design Authority reviews and lead designs through formal stakeholder approval. Act as the senior technical authority for AWS architecture decisions, communicate complex strategy clearly to technical and non-technical audiences, and mentor architects and engineers. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, with a combination of remote working and attendance at a Cognizant or client location as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programmes. What you must have to be considered At least eight years of experience in solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance, security and data protection controls. A strong track record of integrating AWS architectures with modern data platforms such as Databricks Lakehouse or Delta Lake, and resolving complex cross-team architecture issues. Experience chairing or presenting at a Technical Design Authority or equivalent architecture governance forum, securing approval for complex designs and engaging senior client stakeholders. The communication and leadership capability to guide and mentor other architects and engineers. These will help you succeed AWS Certified Solutions Architect - Professional. Databricks Data Engineer Professional or Architect-level certification. Experience working in regulated or public-sector environments, particularly national data or research programmes. Experience defining enterprise or reference architecture, supported by a framework such as TOGAF. A forward-looking, proactive approach to identifying architectural risks and communicating clear recommendations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply if you meet the essential requirements. Your transferable experience and unique skills may bring valuable perspectives to this role. What we offer The opportunity to lead architecture for a high-profile, national-scale data programme. The ability to shape enterprise AWS architecture strategy and influence a growing architecture practice. A collaborative and inclusive team environment, with opportunities to mentor colleagues. Competitive Cognizant benefits, including pension, private healthcare and wellbeing support. Flexible and hybrid working arrangements aligned with project and client requirements. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice; we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Cloud Architect - AWS Kubernetes (EKS), you will make an impact by designing secure, resilient and scalable container platforms for a UK government law enforcement cloud programme. You will be a valued member of a dedicated EKS architecture team, working collaboratively with the client Head of Architecture, engineering teams and multidisciplinary stakeholders. In this role, you will: Architect highly available, scalable and secure container solutions on AWS using Amazon EKS, ECS and Fargate, aligned with client architecture and security standards. Lead the configuration, deployment and ongoing evolution of Kubernetes and container environments, with a strong focus on operational security, resilience, multi-tenancy and high availability. Build reusable infrastructure using Terraform and AWS CloudFormation, embedding security, compliance and repeatable deployment practices into the platform. Design secure CI/CD approaches for containerized workloads, including traceability, rollback and controlled artefact management using tools such as Jenkins, GitLab and AWS CodePipeline. Establish effective monitoring, logging and incident-management capabilities using CloudWatch, Prometheus, Grafana and the ELK stack, while advising stakeholders on AWS container best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at client or Cognizant locations in London and Croydon as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What you must have to be considered Five or more years of experience in AWS cloud architecture, including substantial hands-on delivery with Kubernetes and Amazon EKS. Advanced knowledge of AWS services and networking, including EC2, VPC, IAM and Route 53, with experience designing secure VPCs, subnetting models and least-privilege access controls. Practical experience with Amazon ECS and Fargate, including container networking, load balancing and microservices-based architectures. Strong infrastructure-as-code and automation capability using Terraform, AWS CloudFormation or comparable tools, together with experience building CI/CD pipelines for containerized applications. Active SC and NPPV3 clearance, or the willingness and ability to obtain both, plus the ability to work effectively in a regulated UK public-sector environment. These will help you succeed Knowledge of UK public-sector cloud security and compliance expectations, including the NCSC Cloud Security Principles, GDPR and ISO 27001. Experience implementing secure secrets management, Kubernetes security policies, network policies and controls for multi-tenant platforms. Knowledge of observability and centralized logging using CloudWatch, Prometheus, Grafana and ELK in high-security environments. Strong analytical and problem-solving skills, with the ability to create resilient solutions and manage technical ambiguity with accountability. Clear communication and collaborative stakeholder-management skills, including the ability to explain complex architecture decisions to technical and non-technical audiences. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice; we're a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Cloud Architect - AWS Kubernetes (EKS), you will make an impact by designing secure, resilient and scalable container platforms for a UK government law enforcement cloud programme. You will be a valued member of a dedicated EKS architecture team, working collaboratively with the client Head of Architecture, engineering teams and multidisciplinary stakeholders. In this role, you will: Architect highly available, scalable and secure container solutions on AWS using Amazon EKS, ECS and Fargate, aligned with client architecture and security standards. Lead the configuration, deployment and ongoing evolution of Kubernetes and container environments, with a strong focus on operational security, resilience, multi-tenancy and high availability. Build reusable infrastructure using Terraform and AWS CloudFormation, embedding security, compliance and repeatable deployment practices into the platform. Design secure CI/CD approaches for containerized workloads, including traceability, rollback and controlled artefact management using tools such as Jenkins, GitLab and AWS CodePipeline. Establish effective monitoring, logging and incident-management capabilities using CloudWatch, Prometheus, Grafana and the ELK stack, while advising stakeholders on AWS container best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring attendance at client or Cognizant locations in London and Croydon as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programmes. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations. What you must have to be considered Five or more years of experience in AWS cloud architecture, including substantial hands-on delivery with Kubernetes and Amazon EKS. Advanced knowledge of AWS services and networking, including EC2, VPC, IAM and Route 53, with experience designing secure VPCs, subnetting models and least-privilege access controls. Practical experience with Amazon ECS and Fargate, including container networking, load balancing and microservices-based architectures. Strong infrastructure-as-code and automation capability using Terraform, AWS CloudFormation or comparable tools, together with experience building CI/CD pipelines for containerized applications. Active SC and NPPV3 clearance, or the willingness and ability to obtain both, plus the ability to work effectively in a regulated UK public-sector environment. These will help you succeed Knowledge of UK public-sector cloud security and compliance expectations, including the NCSC Cloud Security Principles, GDPR and ISO 27001. Experience implementing secure secrets management, Kubernetes security policies, network policies and controls for multi-tenant platforms. Knowledge of observability and centralized logging using CloudWatch, Prometheus, Grafana and ELK in high-security environments. Strong analytical and problem-solving skills, with the ability to create resilient solutions and manage technical ambiguity with accountability. Clear communication and collaborative stakeholder-management skills, including the ability to explain complex architecture decisions to technical and non-technical audiences. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. We are looking for our next colleague to help shape the future of business. Could it be you? About the role As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. You will be a valued member of the NCDS team, working collaboratively with the Cognizant Engagement Lead, delivery teams, senior client stakeholders and enterprise architecture colleagues. In this role, you will Own the end-to-end AWS solution architecture for the NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with adjacent AWS services and modern data platforms, while resolving complex cross-team architectural risks and dependencies. Define and embed governance, security, data protection and architecture assurance controls; chair Technical Design Authority reviews and lead designs through formal stakeholder approval. Act as the senior technical authority for AWS architecture decisions, communicate complex strategy clearly to technical and non-technical audiences, and mentor architects and engineers. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, with a combination of remote working and attendance at a Cognizant or client location as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programmes. What you must have to be considered At least eight years of experience in solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance, security and data protection controls. A strong track record of integrating AWS architectures with modern data platforms such as Databricks Lakehouse or Delta Lake, and resolving complex cross-team architecture issues. Experience chairing or presenting at a Technical Design Authority or equivalent architecture governance forum, securing approval for complex designs and engaging senior client stakeholders. The communication and leadership capability to guide and mentor other architects and engineers. These will help you succeed AWS Certified Solutions Architect - Professional. Databricks Data Engineer Professional or Architect-level certification. Experience working in regulated or public-sector environments, particularly national data or research programmes. Experience defining enterprise or reference architecture, supported by a framework such as TOGAF. A forward-looking, proactive approach to identifying architectural risks and communicating clear recommendations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply if you meet the essential requirements. Your transferable experience and unique skills may bring valuable perspectives to this role. What we offer The opportunity to lead architecture for a high-profile, national-scale data programme. The ability to shape enterprise AWS architecture strategy and influence a growing architecture practice. A collaborative and inclusive team environment, with opportunities to mentor colleagues. Competitive Cognizant benefits, including pension, private healthcare and wellbeing support. Flexible and hybrid working arrangements aligned with project and client requirements. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

About Cognizant Consulting Cognizant Consulting is more than Cognizant’s consulting practice. We are a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry knowledge with technology advisory capability, we create innovative business solutions for Fortune 500 clients. We are looking for our next colleague to help shape the future of business. Could it be you? About the role As an AWS Technical Architect, you will make an impact by owning the end-to-end architecture for the NCDS AWS platform and setting the technical direction for secure, scalable and well-governed cloud solutions. You will be a valued member of the NCDS team, working collaboratively with the Cognizant Engagement Lead, delivery teams, senior client stakeholders and enterprise architecture colleagues. In this role, you will Own the end-to-end AWS solution architecture for the NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with adjacent AWS services and modern data platforms, while resolving complex cross-team architectural risks and dependencies. Define and embed governance, security, data protection and architecture assurance controls; chair Technical Design Authority reviews and lead designs through formal stakeholder approval. Act as the senior technical authority for AWS architecture decisions, communicate complex strategy clearly to technical and non-technical audiences, and mentor architects and engineers. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position based in London, with a combination of remote working and attendance at a Cognizant or client location as required. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programmes. What you must have to be considered At least eight years of experience in solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance, security and data protection controls. A strong track record of integrating AWS architectures with modern data platforms such as Databricks Lakehouse or Delta Lake, and resolving complex cross-team architecture issues. Experience chairing or presenting at a Technical Design Authority or equivalent architecture governance forum, securing approval for complex designs and engaging senior client stakeholders. The communication and leadership capability to guide and mentor other architects and engineers. These will help you succeed AWS Certified Solutions Architect - Professional. Databricks Data Engineer Professional or Architect-level certification. Experience working in regulated or public-sector environments, particularly national data or research programmes. Experience defining enterprise or reference architecture, supported by a framework such as TOGAF. A forward-looking, proactive approach to identifying architectural risks and communicating clear recommendations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply if you meet the essential requirements. Your transferable experience and unique skills may bring valuable perspectives to this role. What we offer The opportunity to lead architecture for a high-profile, national-scale data programme. The ability to shape enterprise AWS architecture strategy and influence a growing architecture practice. A collaborative and inclusive team environment, with opportunities to mentor colleagues. Competitive Cognizant benefits, including pension, private healthcare and wellbeing support. Flexible and hybrid working arrangements aligned with project and client requirements. Security clearance: Active SC and NPPV3 clearance, or the willingness and ability to obtain both, is essential.

Project description We are DXC Luxoft Financial Services - an award-winning provider of technology solutions, dedicated to the Financial Services sector. Join our international team and become a member of our open minded, progressive and professional team of financial services consultants. In this role you will be working on projects for biggest investment banks across the globe. You will have a chance to grow your technical and soft skills, and build a thorough expertise in the Capital Markets industry. On top of attractive salary and benefits package, we will invest into your professional training, and allow you to grow your professional career. Responsibilities This initiative focuses on: - Upgrading legacy applications to modern Spring Boot versions (2.x → 3.x) - Decommissioning and replacing Hazelcast across distributed systems - Refactoring applications to align with modern, cloud-ready, stateless architectures - Enhancing integration with event-driven systems using Apache Kafka - Supporting applications connected to Murex batch and real-time processing flows This is a high-impact program in a low-latency financial environment, where system stability, performance, and correctness are critical. We are seeking a Java developer who can design and build with minimum supervision solutions for our team. The person needs to be knowledgeable on modern software development practices including Scrums, be up to date with the latest Java tools and frameworks and be able to work with the existing team to deliver solutions. The ideal candidate will be diligent, tenacious and delivery focused with a track record of building high quality solutions that are resilient and maintainable. Use of cloud technology is increasing, so experience working with AWS would be beneficial. - Design and implement solutions for: - Spring Boot & Hazelcast upgrades (including major version transitions) - Analyze existing distributed system usage (caching, clustering, locking) - Refactor applications toward stateless, scalable microservices - Implement and optimize integrations using Kafka-based event-driven architecture - Collaborate with QA, DevOps, and architecture teams on migration and rollout strategy - Ensure high standards of performance, resilience, and fault tolerance - Participate in code reviews, technical design discussions, and production support Post-project opportunity: Following successful delivery of this modernization initiative, team members are planned to be reassigned to other strategic programs within the client’s long-term roadmap, offering continued growth and exposure to new initiatives. SKILLS Must have Technical Strong commercial Java development experience. Strong knowledge of Java and the wider Java ecosystem. Experience with Spring and/or Spring Boot. Experience managing dependencies using Maven and/or Gradle. Experience upgrading Java libraries, frameworks and third-party dependencies. Experience identifying, investigating and remediating software security vulnerabilities. Good understanding of secure coding practices and common application security risks. Strong debugging, troubleshooting and problem-solving skills. Experience working with Git and CI/CD pipelines. Experience working with established or legacy Java applications. Experience assessing the impact of upgrades and remediation changes on existing systems. Experience with unit and integration testing. Nice to have • Experience working with Calypso. • Experience with code scanning, vulnerability scanning or software composition analysis tools such as Snyk, Veracode, Checkmarx, Black Duck, Sonatype or similar. • Familiarity with CVEs and CVSS scoring. • Experience with Docker and Kubernetes. • Experience working in cloud environments such as AWS, Azure or GCP. • Knowledge of OWASP principles and DevSecOps practices. • Experience working within financial services or other regulated environments.

Retire the ERP. Light exists to replace factory-era ERPs with software that feels alive. Our Smart Financial Platform gives modern, global companies superpowers - automated accounting, real-time reporting, and financial flows that move at the speed of the business. We build with our customers, ship fast, and obsess over craft. In a short time, Light has gone from idea to the operating core for leading companies like Lovable, Legora, and Keyshot. People don’t just use Light - they enjoy it. We’re an early team defining a new software category. Think engineers who love debits and credits, designers who care about reconciliation states, and operators who treat finance as a product. If you’re excited to modernise how the world runs money - one workflow at a time - you’re in the right place. Backed by world-class investors and advised by industry titans, we’re building category-defining products with the freedom to ship ambitiously and own outcomes. Come help us make Light the global default for next-gen finance. This AI Engineer role We're looking for builders who can take a customer problem from idea to production, wherever in the stack it lives. At Light, AI writes code and the bottleneck has shifted from writing to thinking, so we want engineers who work end-to-end and ship things that matter. We are primarily hiring at senior-level for this role. Your qualifications: 7-10 years of experience ideally, plus... You build things. Not prototypes, not demos. Working software in production, doing something real for real users. This is the non-negotiable. You're genuinely AI-native. You've changed the way you work because of AI tooling, not just added it to your workflow. You have an instinct for where it helps, where it misleads, and how to use it without losing ownership of the outcome. You've built with LLMs. You have hands-on experience building products or features on top of large language models. Agents are a bonus, but working knowledge of how LLMs behave in production is a must. You're comfortable across the stack. You don't need to be a specialist in everything, but you can't have a lane you refuse to leave. Our stack is Kotlin and React. If you're strong in one and curious about the rest, that works. If you need someone else to handle the other side of the feature, it doesn't. You care about the product. You think about the person on the other end. You notice when something feels clunky, even if it technically works. You have opinions about what good software feels like and you act on them. You ship early and often. Small batches. Learn. Go again. You're not precious about your work. You'd rather put something real in front of a customer than spend another week perfecting it in isolation. Bonus points: Experience in fintech or systems where data integrity is non-negotiable Familiarity with accounting concepts: debits, credits, reconciliation Background in high-growth startups where everything was still being figured out Our Tech Stack: We build on AWS, with a Kotlin backend, a React frontend, and infrastructure managed in Terraform. It's a real production system that global finance teams depend on every day. You don't need to have used every piece of it. You do need to be comfortable in this kind of environment: real scale, real customers, real stakes. The good stuff In addition to being part of a great team and working in a really fun and innovative environment, we offer: ???? A competitive salary + potential stock options ???? 25 days of annual leave + public holidays in the country where you are based. ???? Regular socials and company off-sites ???? A huge opportunity for career growth as you'll help shape a market-defining product. The famous last words Working at Light means you're embarking on an exciting journey to reshape the future of multinational financial operations. Our cheat-code is that we've built something like this before - and are now doing it again, only better. Our goal is to make global finance effortless and empower companies to make informed decisions. Join the rocket ship while it's taking off ????

Retire the ERP. Light exists to replace factory-era ERPs with software that feels alive. Our Smart Financial Platform gives modern, global companies superpowers - automated accounting, real-time reporting, and financial flows that move at the speed of the business. We build with our customers, ship fast, and obsess over craft. In a short time, Light has gone from idea to the operating core for leading companies like Lovable, Legora, and Keyshot. People don’t just use Light - they enjoy it. We’re an early team defining a new software category. Think engineers who love debits and credits, designers who care about reconciliation states, and operators who treat finance as a product. If you’re excited to modernise how the world runs money - one workflow at a time - you’re in the right place. Backed by world-class investors and advised by industry titans, we’re building category-defining products with the freedom to ship ambitiously and own outcomes. Come help us make Light the global default for next-gen finance. This AI Engineer role We're looking for builders who can take a customer problem from idea to production, wherever in the stack it lives. At Light, AI writes code and the bottleneck has shifted from writing to thinking, so we want engineers who work end-to-end and ship things that matter. We are primarily hiring at senior-level for this role. Your qualifications: 7-10 years of experience ideally, plus... You build things. Not prototypes, not demos. Working software in production, doing something real for real users. This is the non-negotiable. You're genuinely AI-native. You've changed the way you work because of AI tooling, not just added it to your workflow. You have an instinct for where it helps, where it misleads, and how to use it without losing ownership of the outcome. You've built with LLMs. You have hands-on experience building products or features on top of large language models. Agents are a bonus, but working knowledge of how LLMs behave in production is a must. You're comfortable across the stack. You don't need to be a specialist in everything, but you can't have a lane you refuse to leave. Our stack is Kotlin and React. If you're strong in one and curious about the rest, that works. If you need someone else to handle the other side of the feature, it doesn't. You care about the product. You think about the person on the other end. You notice when something feels clunky, even if it technically works. You have opinions about what good software feels like and you act on them. You ship early and often. Small batches. Learn. Go again. You're not precious about your work. You'd rather put something real in front of a customer than spend another week perfecting it in isolation. Bonus points: Experience in fintech or systems where data integrity is non-negotiable Familiarity with accounting concepts: debits, credits, reconciliation Background in high-growth startups where everything was still being figured out Our Tech Stack: We build on AWS, with a Kotlin backend, a React frontend, and infrastructure managed in Terraform. It's a real production system that global finance teams depend on every day. You don't need to have used every piece of it. You do need to be comfortable in this kind of environment: real scale, real customers, real stakes. The good stuff In addition to being part of a great team and working in a really fun and innovative environment, we offer: ???? A competitive salary + potential stock options ???? 25 days of annual leave + public holidays in the country where you are based. ???? Regular socials and company off-sites ???? A huge opportunity for career growth as you'll help shape a market-defining product. The famous last words Working at Light means you're embarking on an exciting journey to reshape the future of multinational financial operations. Our cheat-code is that we've built something like this before - and are now doing it again, only better. Our goal is to make global finance effortless and empower companies to make informed decisions. Join the rocket ship while it's taking off ????

Retire the ERP. Light exists to replace factory-era ERPs with software that feels alive. Our Smart Financial Platform gives modern, global companies superpowers - automated accounting, real-time reporting, and financial flows that move at the speed of the business. We build with our customers, ship fast, and obsess over craft. In a short time, Light has gone from idea to the operating core for leading companies like Lovable, Legora, and Keyshot. People don’t just use Light - they enjoy it. We’re an early team defining a new software category. Think engineers who love debits and credits, designers who care about reconciliation states, and operators who treat finance as a product. If you’re excited to modernise how the world runs money - one workflow at a time - you’re in the right place. Backed by world-class investors and advised by industry titans, we’re building category-defining products with the freedom to ship ambitiously and own outcomes. Come help us make Light the global default for next-gen finance. This AI Engineer role We're looking for builders who can take a customer problem from idea to production, wherever in the stack it lives. At Light, AI writes code and the bottleneck has shifted from writing to thinking, so we want engineers who work end-to-end and ship things that matter. We are primarily hiring at senior-level for this role. Your qualifications: 7-10 years of experience ideally, plus... You build things. Not prototypes, not demos. Working software in production, doing something real for real users. This is the non-negotiable. You're genuinely AI-native. You've changed the way you work because of AI tooling, not just added it to your workflow. You have an instinct for where it helps, where it misleads, and how to use it without losing ownership of the outcome. You've built with LLMs. You have hands-on experience building products or features on top of large language models. Agents are a bonus, but working knowledge of how LLMs behave in production is a must. You're comfortable across the stack. You don't need to be a specialist in everything, but you can't have a lane you refuse to leave. Our stack is Kotlin and React. If you're strong in one and curious about the rest, that works. If you need someone else to handle the other side of the feature, it doesn't. You care about the product. You think about the person on the other end. You notice when something feels clunky, even if it technically works. You have opinions about what good software feels like and you act on them. You ship early and often. Small batches. Learn. Go again. You're not precious about your work. You'd rather put something real in front of a customer than spend another week perfecting it in isolation. Bonus points: Experience in fintech or systems where data integrity is non-negotiable Familiarity with accounting concepts: debits, credits, reconciliation Background in high-growth startups where everything was still being figured out Our Tech Stack: We build on AWS, with a Kotlin backend, a React frontend, and infrastructure managed in Terraform. It's a real production system that global finance teams depend on every day. You don't need to have used every piece of it. You do need to be comfortable in this kind of environment: real scale, real customers, real stakes. The good stuff In addition to being part of a great team and working in a really fun and innovative environment, we offer: ???? A competitive salary + potential stock options ???? 25 days of annual leave + public holidays in the country where you are based. ???? Regular socials and company off-sites ???? A huge opportunity for career growth as you'll help shape a market-defining product. The famous last words Working at Light means you're embarking on an exciting journey to reshape the future of multinational financial operations. Our cheat-code is that we've built something like this before - and are now doing it again, only better. Our goal is to make global finance effortless and empower companies to make informed decisions. Join the rocket ship while it's taking off ????

Retire the ERP. Light exists to replace factory-era ERPs with software that feels alive. Our Smart Financial Platform gives modern, global companies superpowers - automated accounting, real-time reporting, and financial flows that move at the speed of the business. We build with our customers, ship fast, and obsess over craft. In a short time, Light has gone from idea to the operating core for leading companies like Lovable, Legora, and Keyshot. People don’t just use Light - they enjoy it. We’re an early team defining a new software category. Think engineers who love debits and credits, designers who care about reconciliation states, and operators who treat finance as a product. If you’re excited to modernise how the world runs money - one workflow at a time - you’re in the right place. Backed by world-class investors and advised by industry titans, we’re building category-defining products with the freedom to ship ambitiously and own outcomes. Come help us make Light the global default for next-gen finance. This AI Engineer role We're looking for builders who can take a customer problem from idea to production, wherever in the stack it lives. At Light, AI writes code and the bottleneck has shifted from writing to thinking, so we want engineers who work end-to-end and ship things that matter. We are primarily hiring at senior-level for this role. Your qualifications: 7-10 years of experience ideally, plus... You build things. Not prototypes, not demos. Working software in production, doing something real for real users. This is the non-negotiable. You're genuinely AI-native. You've changed the way you work because of AI tooling, not just added it to your workflow. You have an instinct for where it helps, where it misleads, and how to use it without losing ownership of the outcome. You've built with LLMs. You have hands-on experience building products or features on top of large language models. Agents are a bonus, but working knowledge of how LLMs behave in production is a must. You're comfortable across the stack. You don't need to be a specialist in everything, but you can't have a lane you refuse to leave. Our stack is Kotlin and React. If you're strong in one and curious about the rest, that works. If you need someone else to handle the other side of the feature, it doesn't. You care about the product. You think about the person on the other end. You notice when something feels clunky, even if it technically works. You have opinions about what good software feels like and you act on them. You ship early and often. Small batches. Learn. Go again. You're not precious about your work. You'd rather put something real in front of a customer than spend another week perfecting it in isolation. Bonus points: Experience in fintech or systems where data integrity is non-negotiable Familiarity with accounting concepts: debits, credits, reconciliation Background in high-growth startups where everything was still being figured out Our Tech Stack: We build on AWS, with a Kotlin backend, a React frontend, and infrastructure managed in Terraform. It's a real production system that global finance teams depend on every day. You don't need to have used every piece of it. You do need to be comfortable in this kind of environment: real scale, real customers, real stakes. The good stuff In addition to being part of a great team and working in a really fun and innovative environment, we offer: ???? A competitive salary + potential stock options ???? 25 days of annual leave + public holidays in the country where you are based. ???? Regular socials and company off-sites ???? A huge opportunity for career growth as you'll help shape a market-defining product. The famous last words Working at Light means you're embarking on an exciting journey to reshape the future of multinational financial operations. Our cheat-code is that we've built something like this before - and are now doing it again, only better. Our goal is to make global finance effortless and empower companies to make informed decisions. Join the rocket ship while it's taking off ????

Our Purpose Planday from Xero is a leading digital solution that uncomplicates everyday scheduling and workforce management by making it easier for businesses and shift workers around the world to communicate, collaborate, and get work done. Powered by a community of local industry experts, Planday provides a best-in-class digital platform that is easy to use, accurate, secure, and compliant with local needs and standards. From payroll and accounting to POS and reporting, its open API and tech ecosystem is scalable to fit shifting business needs and to build an engaged, flexible workforce. Founded in 2004, Planday is headquartered in Copenhagen, Denmark and supports over 400,000 users across Europe, Australia and the US. Planday was acquired by Xero in 2021. How you’ll make an impact As a Machine Learning Engineer for Agentic AI & ML, you will work at the intersection of research and production. You will collaborate closely with internal stakeholders and customers to translate ambiguous challenges into effective, shipped features. You will work on features throughout the lifecycle - from discovery and model building to production deployment and maintenance. By designing and shipping ML and agentic systems, you will expand the platform's capabilities to fundamentally reshape how business owners run their operations and how workers manage transparency and work-life balance. What you’ll do Build and optimize ML models to enhance and extend Planday, framing problems from real metrics and engineering robust feature pipelines. Design and ship agentic systems involving tool use, function calling, and multi-agent orchestration for reliable planning workflows. Deploy and operate model services in production, ensuring performance for cost and latency through caching, batching, and quantization. Design and run rigorous evaluations, including LLM-as-judge and regression suites, so quality changes are always measured. Collaborate on turning research prototypes into reliable, observable production workflows and pipelines. Success looks like Stable and sustainable support for live ML services in production as our variety of deployments grows. Successful release of new features like auto-scheduler models and intelligent AI agent needs. Reduced ambiguity in model quality through the implementation of repeatable and high-fidelity evaluation sets. Proactive maintenance and debugging of production services, ensuring high reliability for end-users. Delivery of research-backed features that directly improve complex workflows like shift assignment. What you’ll bring with you 3–5 years of hands-on experience designing, building, and deploying machine learning or data systems in production environments. Strong collaborative skills - we are a small, high-impact team, and we view cross-functional partnership as a feature, not a bug. Solid grounding in ML fundamentals (metrics, validation, leakage) and a strong theoretical foundation in AI research. Practical experience shipping ML or data systems in production environments, beyond purely academic or notebook settings. Strong Python skills, including experience with numerical and dataframe libraries such as NumPy and pandas. Experience writing tested, maintainable, and observable code for services deployed to the cloud. Hands-on experience with LLM applications and agentic architectures, such as RAG, function calling, or planning workflows. Familiarity with data tooling (SQL, dbt, Snowflake/Databricks) and an end-to-end mindset for product building. MSc or equivalent experience in a quantitative field. You combine a strong theoretical foundation with a pragmatic approach, are adept at translating business needs into technical solutions, and actively stay informed on relevant frontier developments. At Planday, we offer you Benefits like pension, health insurance, inclusive support for new parents and generous vacation On top of your annual base salary, you are offered to be part of an Employee Share Plan Growth and progression opportunities – we want you to grow with us Flexible remote work Strong social culture with lots of team and company activities Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe Healthy work-life balance and autonomous approach to work. We trust in you and your abilities Finally, our offices are not just workplaces (although they are pretty nice and well-located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work. At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture. As an equal opportunity employer, we strive to create an equitable experience for all candidates throughout the process. Please let us know if you need any reasonable adjustments during the application or interview process.

Our Purpose Planday from Xero is a leading digital solution that uncomplicates everyday scheduling and workforce management by making it easier for businesses and shift workers around the world to communicate, collaborate, and get work done. Powered by a community of local industry experts, Planday provides a best-in-class digital platform that is easy to use, accurate, secure, and compliant with local needs and standards. From payroll and accounting to POS and reporting, its open API and tech ecosystem is scalable to fit shifting business needs and to build an engaged, flexible workforce. Founded in 2004, Planday is headquartered in Copenhagen, Denmark and supports over 400,000 users across Europe, Australia and the US. Planday was acquired by Xero in 2021. How you’ll make an impact As a Machine Learning Engineer for Agentic AI & ML, you will work at the intersection of research and production. You will collaborate closely with internal stakeholders and customers to translate ambiguous challenges into effective, shipped features. You will work on features throughout the lifecycle - from discovery and model building to production deployment and maintenance. By designing and shipping ML and agentic systems, you will expand the platform's capabilities to fundamentally reshape how business owners run their operations and how workers manage transparency and work-life balance. What you’ll do Build and optimize ML models to enhance and extend Planday, framing problems from real metrics and engineering robust feature pipelines. Design and ship agentic systems involving tool use, function calling, and multi-agent orchestration for reliable planning workflows. Deploy and operate model services in production, ensuring performance for cost and latency through caching, batching, and quantization. Design and run rigorous evaluations, including LLM-as-judge and regression suites, so quality changes are always measured. Collaborate on turning research prototypes into reliable, observable production workflows and pipelines. Success looks like Stable and sustainable support for live ML services in production as our variety of deployments grows. Successful release of new features like auto-scheduler models and intelligent AI agent needs. Reduced ambiguity in model quality through the implementation of repeatable and high-fidelity evaluation sets. Proactive maintenance and debugging of production services, ensuring high reliability for end-users. Delivery of research-backed features that directly improve complex workflows like shift assignment. What you’ll bring with you 3–5 years of hands-on experience designing, building, and deploying machine learning or data systems in production environments. Strong collaborative skills - we are a small, high-impact team, and we view cross-functional partnership as a feature, not a bug. Solid grounding in ML fundamentals (metrics, validation, leakage) and a strong theoretical foundation in AI research. Practical experience shipping ML or data systems in production environments, beyond purely academic or notebook settings. Strong Python skills, including experience with numerical and dataframe libraries such as NumPy and pandas. Experience writing tested, maintainable, and observable code for services deployed to the cloud. Hands-on experience with LLM applications and agentic architectures, such as RAG, function calling, or planning workflows. Familiarity with data tooling (SQL, dbt, Snowflake/Databricks) and an end-to-end mindset for product building. MSc or equivalent experience in a quantitative field. You combine a strong theoretical foundation with a pragmatic approach, are adept at translating business needs into technical solutions, and actively stay informed on relevant frontier developments. At Planday, we offer you Benefits like pension, health insurance, inclusive support for new parents and generous vacation On top of your annual base salary, you are offered to be part of an Employee Share Plan Growth and progression opportunities – we want you to grow with us Flexible remote work Strong social culture with lots of team and company activities Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe Healthy work-life balance and autonomous approach to work. We trust in you and your abilities Finally, our offices are not just workplaces (although they are pretty nice and well-located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work. At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture. As an equal opportunity employer, we strive to create an equitable experience for all candidates throughout the process. Please let us know if you need any reasonable adjustments during the application or interview process.

Company Overview: 10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high-growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington. To learn more, visit https://10pearls.com. Job Overview: We are seeking an experienced AI Solutions Architect to design, deliver, and help sell cutting-edge artificial intelligence solutions for our clients across a wide range of industries. This is a client-facing role that spans the full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with the consulting skills to lead workshops, influence stakeholders at all levels, and translate business needs into production-grade solutions. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals and play a leading role in growing our AI practice from our Paddington, London office. Responsibilities: Client & Stakeholder Engagement: Serve as a trusted technical advisor throughout client engagements. Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Articulate solution value and translate business needs into scalable, AI-driven architectures, ensuring alignment across technical and non-technical audiences. Pre-Sales & Business Development: Partner with sales and business development to qualify opportunities and win new work. Contribute to RFP/RFI responses, scope and estimate engagements (effort, cost, and timeline), and help shape proposals and statements of work. Design and deliver compelling demos and proof-of-concepts that demonstrate feasibility and value, applying commercial awareness of deal economics alongside technical fit. Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use-case ideation, AI-readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical audiences and drive toward clearly defined outcomes. Upskill client and internal teams on AI concepts and best practices. Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture / Deployment: Architect robust, secure AI and data platforms that support real-time inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture. Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization and with clients. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing and, where applicable, public engagements or open-source contributions. Technology Evaluation & Innovation: Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations that drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions. Cross-Functional Collaboration: Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts Required Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client-facing consulting experience, including pre-sales support (scoping, estimation, proposals/SOWs, demos, or POCs) Experience designing and facilitating client workshops for mixed technical and non-technical audiences Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate  

Company Overview: 10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high-growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington. To learn more, visit https://10pearls.com. Job Overview: We are seeking an experienced AI Solutions Architect to design, deliver, and help sell cutting-edge artificial intelligence solutions for our clients across a wide range of industries. This is a client-facing role that spans the full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with the consulting skills to lead workshops, influence stakeholders at all levels, and translate business needs into production-grade solutions. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals and play a leading role in growing our AI practice from our Paddington, London office. Responsibilities: Client & Stakeholder Engagement: Serve as a trusted technical advisor throughout client engagements. Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Articulate solution value and translate business needs into scalable, AI-driven architectures, ensuring alignment across technical and non-technical audiences. Pre-Sales & Business Development: Partner with sales and business development to qualify opportunities and win new work. Contribute to RFP/RFI responses, scope and estimate engagements (effort, cost, and timeline), and help shape proposals and statements of work. Design and deliver compelling demos and proof-of-concepts that demonstrate feasibility and value, applying commercial awareness of deal economics alongside technical fit. Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use-case ideation, AI-readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical audiences and drive toward clearly defined outcomes. Upskill client and internal teams on AI concepts and best practices. Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture / Deployment: Architect robust, secure AI and data platforms that support real-time inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture. Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization and with clients. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing and, where applicable, public engagements or open-source contributions. Technology Evaluation & Innovation: Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations that drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions. Cross-Functional Collaboration: Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts Required Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client-facing consulting experience, including pre-sales support (scoping, estimation, proposals/SOWs, demos, or POCs) Experience designing and facilitating client workshops for mixed technical and non-technical audiences Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate  

Company Overview: 10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high-growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington. To learn more, visit https://10pearls.com. Job Overview: We are seeking an experienced AI Solutions Architect to design, deliver, and help sell cutting-edge artificial intelligence solutions for our clients across a wide range of industries. This is a client-facing role that spans the full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with the consulting skills to lead workshops, influence stakeholders at all levels, and translate business needs into production-grade solutions. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals and play a leading role in growing our AI practice from our Paddington, London office. Responsibilities: Client & Stakeholder Engagement: Serve as a trusted technical advisor throughout client engagements. Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Articulate solution value and translate business needs into scalable, AI-driven architectures, ensuring alignment across technical and non-technical audiences. Pre-Sales & Business Development: Partner with sales and business development to qualify opportunities and win new work. Contribute to RFP/RFI responses, scope and estimate engagements (effort, cost, and timeline), and help shape proposals and statements of work. Design and deliver compelling demos and proof-of-concepts that demonstrate feasibility and value, applying commercial awareness of deal economics alongside technical fit. Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use-case ideation, AI-readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical audiences and drive toward clearly defined outcomes. Upskill client and internal teams on AI concepts and best practices. Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture / Deployment: Architect robust, secure AI and data platforms that support real-time inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture. Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization and with clients. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing and, where applicable, public engagements or open-source contributions. Technology Evaluation & Innovation: Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations that drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions. Cross-Functional Collaboration: Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts Required Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client-facing consulting experience, including pre-sales support (scoping, estimation, proposals/SOWs, demos, or POCs) Experience designing and facilitating client workshops for mixed technical and non-technical audiences Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate  

Company Overview: 10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high-growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington. To learn more, visit https://10pearls.com. Job Overview: We are seeking an experienced AI Solutions Architect to design, deliver, and help sell cutting-edge artificial intelligence solutions for our clients across a wide range of industries. This is a client-facing role that spans the full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with the consulting skills to lead workshops, influence stakeholders at all levels, and translate business needs into production-grade solutions. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals and play a leading role in growing our AI practice from our Paddington, London office. Responsibilities: Client & Stakeholder Engagement: Serve as a trusted technical advisor throughout client engagements. Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Articulate solution value and translate business needs into scalable, AI-driven architectures, ensuring alignment across technical and non-technical audiences. Pre-Sales & Business Development: Partner with sales and business development to qualify opportunities and win new work. Contribute to RFP/RFI responses, scope and estimate engagements (effort, cost, and timeline), and help shape proposals and statements of work. Design and deliver compelling demos and proof-of-concepts that demonstrate feasibility and value, applying commercial awareness of deal economics alongside technical fit. Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use-case ideation, AI-readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical audiences and drive toward clearly defined outcomes. Upskill client and internal teams on AI concepts and best practices. Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture / Deployment: Architect robust, secure AI and data platforms that support real-time inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture. Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization and with clients. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing and, where applicable, public engagements or open-source contributions. Technology Evaluation & Innovation: Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations that drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions. Cross-Functional Collaboration: Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts Required Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client-facing consulting experience, including pre-sales support (scoping, estimation, proposals/SOWs, demos, or POCs) Experience designing and facilitating client workshops for mixed technical and non-technical audiences Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate  

Company Overview: 10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls' clients include Global 2000 enterprises, high-growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. 10Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia, with its London office based in Paddington. To learn more, visit https://10pearls.com. Job Overview: We are seeking an experienced AI Solutions Architect to design, deliver, and help sell cutting-edge artificial intelligence solutions for our clients across a wide range of industries. This is a client-facing role that spans the full engagement lifecycle — from shaping opportunities and supporting pre-sales, through facilitating discovery and design workshops, to owning the end-to-end AI and data platform architecture that gets built. The ideal candidate brings deep expertise in generative AI, machine learning, data engineering, and scalable infrastructure, combined with the consulting skills to lead workshops, influence stakeholders at all levels, and translate business needs into production-grade solutions. This is a unique opportunity to join a global team of over 1,300 product and engineering professionals and play a leading role in growing our AI practice from our Paddington, London office. Responsibilities: Client & Stakeholder Engagement: Serve as a trusted technical advisor throughout client engagements. Lead architecture reviews, technical presentations, and proof-of-concept efforts for internal and external stakeholders. Articulate solution value and translate business needs into scalable, AI-driven architectures, ensuring alignment across technical and non-technical audiences. Pre-Sales & Business Development: Partner with sales and business development to qualify opportunities and win new work. Contribute to RFP/RFI responses, scope and estimate engagements (effort, cost, and timeline), and help shape proposals and statements of work. Design and deliver compelling demos and proof-of-concepts that demonstrate feasibility and value, applying commercial awareness of deal economics alongside technical fit. Workshop Facilitation & Enablement: Design and facilitate client-facing workshops, including discovery, use-case ideation, AI-readiness and maturity assessment, solution design, and enablement sessions. Run interactive sessions that draw requirements out of mixed technical and non-technical audiences and drive toward clearly defined outcomes. Upskill client and internal teams on AI concepts and best practices. Solution Architecture & Design: Lead the design of end-to-end AI solutions that align with both business objectives and technical requirements, adapting to each client's existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g., microservices, APIs, cloud-native design). AI & Data Platform Architecture / Deployment: Architect robust, secure AI and data platforms that support real-time inference, batch processing, and scalable enterprise workloads, integrating with clients' incumbent technology estates. Implement hybrid-cloud and multi-cloud strategies using modern data infrastructure (Kafka, Spark, data lakes), MLOps practices, and deployment platforms. Ensure compliance with data privacy regulations (including UK GDPR) and responsible AI standards, incorporating governance, observability, and security controls into the architecture. Strategic AI Leadership: Act as a technical advisor and thought leader on AI strategy and innovation across the organization and with clients. Define standards and frameworks for AI development and operations, contribute to the long-term roadmap, and mentor technical teams on AI best practices. Demonstrate thought leadership through internal knowledge-sharing and, where applicable, public engagements or open-source contributions. Technology Evaluation & Innovation: Stay at the forefront of AI innovation, evaluating new tools, frameworks, and methodologies for business impact. Provide clear, evidence-based recommendations that drive innovation while maintaining alignment with enterprise architecture and operational readiness. Translate rapidly evolving GenAI trends into practical, production-grade solutions. Cross-Functional Collaboration: Partner with data scientists, software engineers, product managers, and business leaders to define technical requirements and deliver value-driven solutions, facilitating clear and actionable communication of complex AI concepts Required Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years focused on AI/ML Proven success designing and deploying AI solutions in production environments, including GenAI, NLP, and computer vision Strong understanding of the AI solution lifecycle — from business case and requirements gathering to deployment and monitoring Demonstrable client-facing consulting experience, including pre-sales support (scoping, estimation, proposals/SOWs, demos, or POCs) Experience designing and facilitating client workshops for mixed technical and non-technical audiences Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate