101 to 125 of 244 Amazon SageMaker Jobs in the UK

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 ❯

HIPAA) Excellent communication, client engagement, and workshop facilitation skills Proven ability to work in matrix environments across global teams Desired skills Exposure to AI platforms like Azure AI, AWS SageMaker, Google Vertex AI Knowledge of PoC packaging and offer development for enterprise clients Experience Experience working with AI CoEs or global delivery teams Benefits Collaborative working environment - we stand 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 ❯

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 ❯

with frameworks like Airflow, Spark, or similar Solid understanding of data modelling, architecture, and warehousing best practices Comfort working with cloud platforms (AWS, Azure) and infrastructure tools (e.g. Terraform, SageMaker) Willingness to gain intermediate-level backend development skills (especially with Python/Django) Bonus: experience with data lakes, CI/CD, and data quality/versioning tools If this More ❯

with frameworks like Airflow, Spark, or similar Solid understanding of data modelling, architecture, and warehousing best practices Comfort working with cloud platforms (AWS, Azure) and infrastructure tools (e.g. Terraform, SageMaker) Willingness to gain intermediate-level backend development skills (especially with Python/Django) Bonus: experience with data lakes, CI/CD, and data quality/versioning tools If this More ❯

real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯

real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯

real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯

real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯

real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯

Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Hybrid/Remote Option: Freedom to work from anywhere in the world More ❯

Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Hybrid/Remote Option: Freedom to work from anywhere in the world More ❯

Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Hybrid/Remote Option: Freedom to work from anywhere in the world More ❯

underpin machine learning, statistical modelling and artificial intelligence. You'll also need: A proficiency in Python and libraries commonly used for data science, such as Linux WSL and AWS Sagemaker Practical experience building and validating AI models particularly LLMs The ability to extract the essential ideas underlying technical results and explain them in terms of their practical consequences Excellent More ❯

AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge deep More ❯