11 of 11 Amazon Bedrock Jobs in the North of England

expertise in one or more of the following technology areas: NoSQL, such as DocumentDB/MongoDB RDF Graph database such as GraphDB ML/AI such as Sagemaker/Bedrock Search technologies such as SOLR or Opensearch/ElasticSearch Data pipeline engineering utilising cloud-based technologies (AWS) Write high quality clean, testable code, with a focus on incremental innovation. More ❯

Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like More ❯

Plan · Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like More ❯

complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices More ❯

themselves rather than solely directing teams. Ability to operate as a "doer" - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts.Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI Familiarity with risk-based AI More ❯

rather than solely directing teams. Ability to operate as a 'doer' - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts. Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI Familiarity with risk-based AI More ❯

rather than solely directing teams. Ability to operate as a 'doer' - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts. Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI Familiarity with risk-based AI More ❯

rather than solely directing teams. Ability to operate as a 'doer' - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts. Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI Familiarity with risk-based AI More ❯

rather than solely directing teams. Ability to operate as a 'doer' - Must be capable of rolling up sleeves and contributing technically, not just coordinating efforts. Tech Stack & Experience: AWS Bedrock, Azure AI Foundry, Google Vertex, open-source AI/ML stacks Deep understanding of the AI/ML lifecycle, model governance, and ethical AI Familiarity with risk-based AI More ❯

to hand yourself in front of a customer who have problems and work out viable solutions- AI or ML experience highly beneficial- Experience with any of the following: AWS Bedrock, Agent2Agent Protocol (A2A), or other agentic AI solutions beneficial If this sounds of interest, please apply for this role. More ❯

with RAG models, multi-agent systems & more Build robust AI evaluation & monitoring frameworks Mentor, lead & inspire technical team in delivering AI products Experience Required Proven GenAI solution deployment (AWS Bedrock or similar) Deep knowledge of RAG models & agent workflows Experience with GenAIOps, AI security, and responsible AI Leadership skills & a builder's mindset Built and Architected an AI product More ❯