13 of 13 Remote/Hybrid Amazon SageMaker Jobs in the UK excluding London

scaling AI solutions using at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)* Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience ...

team. Experience with at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker) Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with ...

deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning ...

Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including S3, SageMaker and Lambda Experience or knowledge of Microsoft Fabric Understanding of the machine learning model development and deployment lifecycle Strong analytical and problem-solving abilities ...

infrastructure security, reliability and operational best practice. Desirable Experience The following would be advantageous: MLOps or LLMOps experience. Experience with platforms such as SageMaker, Kubeflow or ZenML . Extensive on-premises Kubernetes deployment experience. Prometheus or comparable observability platforms. AWS Karpenter. AWS Compute Optimizer. Experience operating highly distributed systems. ...

fluency and CI/CD discipline. Nice to have Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker, Bedrock, or comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

another businesses where price, demand and inventory interact dynamically. Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex. Customer data platforms, identity resolution, consent management, experimentation or feedback-loop design. Our client can offer a salary in the region ...

William Hill PLC is seeking a Cloud Engineer for a 3-6 month Fixed Term Contract based in Leeds. The successful candidate will work within a newly formed team to help build and evolve Evoke ...

improving the core infrastructure that powers Evoke’s AI and Machine Learning platforms* Developing expertise in AWS AI technologies, including services such as Amazon Bedrock and SageMaker* Providing technical support and operational ownership for Evoke’s core AI platforms and services* Contributing to platform reliability, observability, automation … experience in a similar Cloud, Platform, or Infrastructure Engineering role* Strong expertise in AWS cloud technologies, including AI and Machine Learning services such as Amazon Bedrock and SageMaker* Solid understanding of Agentic AI concepts and supporting technologies, including platforms such as AWS AgentCore* Strong knowledge of Kubernetes ...

development programme that will allow you the freedom to take on training and certifications on the training platform of your choice. As an Amazon Web Services (AWS) cloud architect, you'll assist in implementing and supporting large-scale cloud implementations on Amazon AWS. Other duties include architecting … . Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components). Proven ability to take research and prototype environments to enterprise-ready architectures, balancing speed ...

Engineer with strong AI/ML capability to join our delivery team. You will implement AI/ML solutions on AWS, including Bedrock agents, SageMaker pipelines and Terraform-based infrastructure, while contributing to migrations and modernisation engagements. You will work within SOW-driven teams, delivering production pipelines, security hardening ...

Senior Solutions Architect (AI/GenAI Specialism) for UK-based, fully remote engagement. You will lead AI/GenAI engagements, design solutions on Amazon Bedrock and SageMaker, and own the pre-sales cycle from scoping calls to SOW writing. You will apply broad AWS delivery experience to diverse ...