8 of 8 MCP Jobs in the Thames Valley

models and tools Strong knowledge of public API design and service lifecycle management. Familiarity with the latest AI standards including Model Context Protocol (MCP) and Agent2Agent (A2A) Familiarity with AI regulations (EU AI Act, NIST AI RMF) and responsible AI principles. Excellent stakeholder engagement, collaboration, and communication skills. What Success ...

variety of front-end frameworks such as React and Vue.JS SQL and normalised database design An interest in/experience of AI technologies - MCP, RAG, prompt engineering, agentic AI, etc. What Next? If you’re a Software Developer seeking an exciting role to propel your career to new heights, apply ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose reasoning gaps, refine routing logic What we expect: Proficiency in Python programming … using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse) Experience with MCP tool integration and orchestration Experience with API design and integration Experience with tool wrapping and interoperability Experience with Error handling and debugging (agentic workflows, logs ...

Contribute to the operational AI stack, including data pipelines, model evaluation and deployment. Build and refine production-grade AI solutions using LLM APIs, RAG, MCP and Knowledge Graph technologies. Collaborate closely with the CTO, data engineers and product team to translate complex investment workflows into intuitive, intelligent systems. Research … event-driven systems (Pub/Sub, Kafka) and NoSQL databases (MongoDB). Nice to haves Familiarity with RAG, autonomous agents, and Model Context Protocol (MCP). Exposure to TDD, Agile, and DevOps environments Front-end experience with Angular 12+ and Angular Material. Hands-on experience with blockchain platforms, tokenisation frameworks ...