4 of 4 Contract Model Context Protocol Jobs in the South East

guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards … production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across ...

solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows … principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher ...

Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.On behalf of this organisation, AMS are looking for an API Backend Engineer (MCP) for a 6 Months contract based in Edinburgh or London (Hybrid). Purpose of the Role: As API Backend Engineer (MCP) you will be responsible … practices, and delivering solutions within SCRUM agile ways of working. Apigee experience is an advantage. Responsibilities of the role: As a API Backend Engineer (MCP) you will be responsible for: Design, develop, and maintain backend services and APIs (REST and event-driven). Build and operate APIs and MCPs using ...

transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design and implement MCP servers and supporting AI infrastructure Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes Contribute to AI architecture decisions, experimentation strategies … solutions Commercial experience with: Large Language Models (LLMs) Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience ...