4 of 4 Model Context Protocol Jobs in Tyne and Wear

Integration Architect

Location
Newcastle upon Tyne, England, United Kingdom
tooling including Application Insights, Azure Monitor and Log Analytics . Knowledge of emerging AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure Solutions Architect Expert (AZ-305) Azure Developer Associate (AZ-204) Key technologies Additional Information Why Version ...

Lead AI Engineer

Location
Newcastle upon Tyne, England, United Kingdom
this position you will play a key part in:* Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI and Agentic Frameworks, such … Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).* Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. ...

Senior Consultant - Agentic AI / Generative AI

Location
Newcastle upon Tyne, England, United Kingdom
RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.* Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.## **WHAT YOU'LL LOVE ...

AI Developer

Hiring Organisation
Nigel Wright Group
Location
Gateshead, Tyne and Wear, United Kingdom
Employment Type
Full-Time
Salary
£75,000 - £95,000 per annum
grade LLM-powered features and applications Building AI agents, conversational experiences and intelligent workflows Working with technologies such as AWS Bedrock, agent frameworks and MCP Integrating LLM capabilities into existing applications, APIs and datasets Designing hybrid solutions combining AI, rules-based logic and proprietary data Prototyping ideas quickly, testing them … Generative AI Building production applications using commercial or open-source LLMs AI agents and agentic architectures AWS Bedrock or comparable cloud AI platforms MCP/tool-enabled LLM applications Building chatbots or conversational applications API and application integration Prompt and context engineering Retrieval and grounding techniques Model evaluation ...