2 of 2 Temporary Amazon SageMaker Jobs in the UK

learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management, and automated validation processes ...

Take AI features from prototype through to secure, reliable production deployment. Design and deploy AI/ML workloads on AWS, using services such as Amazon Bedrock or SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data … background and a track record of shipping AI/LLM systems into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation ...