11 of 11 MCP Jobs in Yorkshire

property graphs, or feature stores for ML Experience designing and integrating AI systems and agents in enterprise environments; familiarity with Model Context Protocol (MCP) and tool/plugin ecosystems Hands-on with RAG architectures: embeddings, vector stores, chunking, re-ranking, and retrieval evaluation Experience with agentic orchestration frameworks (e.g., LangGraph ...

components of the Google Suite of applications including, but not limited to Gmail, Google Docs, Google Sheets and Google Calendar. (Not essential) MCP (Microsoft Certified Professional) in Windows 10/11 environment. (Not Essential) Understanding and experience of CompTIA A+ (PC Hardware Break Fix), exposure to Windows Server environment ...

components of the Google Suite of applications including, but not limited to Gmail, Google Docs, Google Sheets and Google Calendar. (Not essential) MCP (Microsoft Certified Professional) in Windows 10/11 environment. (Not Essential) Understanding and experience of CompTIA A+ (PC Hardware Break Fix), exposure to Windows Server environment ...

components of the Google Suite of applications including, but not limited to Gmail, Google Docs, Google Sheets and Google Calendar. (Not essential) MCP (Microsoft Certified Professional) in Windows 10/11 environment. (Not Essential) Understanding and experience of CompTIA A+ (PC Hardware Break Fix), exposure to Windows Server environment ...

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 ...

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 ...