6 of 6 Amazon SageMaker Jobs in the South East

Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines ...

engineering agentic AI systems Knowledge of the healthcare/pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows ...

Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company ...

environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability ...

modern AWS AI tooling . What They're Looking For Hands-on experience with AWS AI/ML services , including: AWS Bedrock (key) SageMaker Lambda, API Gateway Experience building Generative AI/LLM-powered solutions Strong Python development skills Experience integrating AI into production systems Exposure to prompt engineering …/day (Inside IR35) Location: Mostly remote Travel: Occasional travel as required Engagement: Consultancy-led delivery Keywords AWS Bedrock, Generative AI, LLM, Python, SageMaker, Prompt Engineering, RAG, LangChain, Vector DB, AWS AI Additional Information My client has limited interview slots and they are looking to fill this vacancy ...

model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best practices across the organisation. Ensure governance, compliance, documentation … model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker/Kubernetes), CI/CD pipelines, and cloud ML services (AWS SageMaker preferred). Experience with infrastructure-as-code, production-grade Linux environments, and API services (Flask/Gunicorn). Proficiency in building automated, reliable ML pipelines ...