8 of 8 Amazon Bedrock Jobs in the North of England

include: Deep proficiency in Python or JavaScript/TypeScript and associated AI/ML SDKs. Solid experience with cloud platforms, specifically AWS (including services like SageMaker, Lambda, S3, EC2, Bedrock). Strong software engineering fundamentals (API design, data structures, algorithms, version control with Git, testing methodologies). Understanding of full-stack application architecture and integration points. Experience working in More ❯

Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. More ❯

/Azure. You will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below More ❯

Familiar with Terraform, from a developer perspective. Previous work in financial services, healthcare, or similarly regulated data environments. Experience with LLMs, voice agents, or tools like AWS SageMaker, AWS Bedrock, or ElevenLabs. Exposure to soft real-time systems or distributed system architectures. Knowledge of OAuth, SQS, or running containers in production. More ❯

AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms such as Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI prototypes using tools like React for demoable outputs. Develop robust API More ❯

regulatory complex financial operational environments Strong data and reporting acumen; comfortable building and interpreting executive-level dashboards Executive presence and ability to influence at C-level Desirable Experience with Amazon Bedrock or similar generative AI platforms Familiarity with ITIL/ITSM frameworks and workflow automation tools (e.g. Jira, Confluence) Knowledge of regulatory frameworks such as DORA and PCI More ❯

Experience with scaling AI solutions in complex, regulated environments is required. Deep understanding of AI/ML lifecycle, model governance, and ethical AI principles. AI technical experience including AWS Bedrock, Azure AI Foundry, Google Vertex and open-source AI/ML stacks. Contribute to reusable architecture patterns and support internal capability uplift. Background in regulated environments and ability to More ❯

reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. Optimize performance and ensure responsible AI practices. Deploy via cloud platforms (AWS Bedrock, Azure AI, Google Vertex). Build UIs (Streamlit, Gradio, React) and integrate APIs and databases. Preferred Skills Experience with multi-agent systems and ethical AI. Familiarity with advanced model More ❯