26 to 50 of 80 Amazon SageMaker Jobs in the UK excluding London

decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs) Working with Yaspa We are a More ❯

decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs) Working with Yaspa We are a More ❯

for version control, CI/CD, and collaboration. Strong coding background in Python and PySpark. Hands-on experience with the following AWS services: S3, Lambda, Glue, Step Functions, Athena, SageMaker, VPC, ECS, IAM, KMS Proficiency in CloudFormation for infrastructure automation. Experience with unit testing frameworks and best practices. Familiarity with GitLab for source control and CI/CD ABOUT More ❯

of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. More ❯

of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. More ❯

of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. More ❯

to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining and executing an organisation-wide More ❯

to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining and executing an organisation-wide More ❯

to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining and executing an organisation-wide More ❯

AWS S3 Data Lake using VS Code, Glue, Lambda, Git Hub and Terraform Experience with/understanding of a wide variety of analytics tools such as SQL, Alteryx, AWS Sagemaker, Quicksight, Tableau and PowerBI Desirable: Experience using Lake Formation Experience with AWS Kinesis/Firehose for real-time data pipelines Experience of rail, airline or leisure industry Experience with More ❯

AWS S3 Data Lake using VS Code, Glue, Lambda, Git Hub and Terraform Experience with/understanding of a wide variety of analytics tools such as SQL, Alteryx, AWS Sagemaker, Quicksight, Tableau and PowerBI Desirable: Experience using Lake Formation Experience with AWS Kinesis/Firehose for real-time data pipelines Experience of rail, airline or leisure industry Experience with More ❯

and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research, and bridging theory with practice Bonus if you have: MLOps experience (SageMaker, Kubeflow, ZenML) Research or deployments in edge AI or constrained environments Experience building REST APIs around AI systems Familiarity with ISO 27001 , GDPR , or NIST SSDF The Offer Permanent More ❯

and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research, and bridging theory with practice Bonus if you have: MLOps experience (SageMaker, Kubeflow, ZenML) Research or deployments in edge AI or constrained environments Experience building REST APIs around AI systems Familiarity with ISO 27001 , GDPR , or NIST SSDF The Offer Permanent More ❯

Looking For Must Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth mindset More ❯

Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting More ❯

Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting More ❯

Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting-edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting More ❯

integration. Familiarity with CI/CD pipelines and modern DevOps workflows. Understanding of authentication, authorization, and web security best practices. Nice-to-haves: Experience deploying ML models using AWS Sagemaker, Hugging Face, or Replicate . Familiarity with WebGL, THREE.js , or other 3D graphics frameworks. Interest in AI, generative models, and spatial computing . More ❯

experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying and managing cloud-native applications. Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with … minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and security in AI systems." Design, develop, and deploy containerized agent-based More ❯

experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying and managing cloud-native applications. Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with … minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and security in AI systems." Design, develop, and deploy containerized agent-based More ❯

experience. Strong backend development skills. Proven experience with containerization (ECS, Fargate, Docker, Kubernetes). Experience with LLMs, vector databases, prompt engineering, and multi - agent frameworks, and distributed training on SageMaker, SLM fine-tuning. Strong experience with AWS, including deploying and managing cloud-native applications. Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with … minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and security in AI systems." Design, develop, and deploy containerized agent-based More ❯

APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years’ experience in software More ❯

APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years’ experience in software More ❯

APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years’ experience in software More ❯

APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years’ experience in software More ❯