11 of 11 Remote/Hybrid Model Context Protocol Jobs in London

Senior AI Platform Engineer - MCP | TypeScript | AWS | Agentic AI Salary: Up to £100,000 Location: London - Hybrid Type: Permanent We're working with an established, technology-led business in the sports betting industry that's investing heavily in AI, with ambitious plans to transform its platform through LLM integration, intelligent … looking for a Senior AI Platform Engineer to lead the architecture, design and implementation of a Model Context Protocol (MCP) gateway. This will enable LLMs and AI agents to securely interact with existing services, APIs and business logic, laying the foundations for a wider AI strategy focused ...

deliver scalable AI solutions, including Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent automation capabilities aligned to business objectives. Evaluate technology, model, and platform options, providing recommendations based on business value, cost, risk, strategic alignment, scalability, and long-term supportability. Follow Systems Development Lifecycle (SDLC) and governance … Observability Frameworks LLM Fine-tuning and Adaptation Techniques Hands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks. Strong programming skills in Python, with experience developing scalable APIs, AI services, and automation solutions. Experience implementing vector search solutions ...

Engineer to lead the build of an enterprise AI evidence discovery platform using SharePoint, Azure AI services and Model Context Protocol (MCP ). The role involves designing AI-powered search and retrieval capabilities across documents, emails, contracts and risk artefacts, while mentoring a junior engineer. Responsibilities - Develop … MCP servers exposing SharePoint and Azure AI Search capabilities to AI agents. - Build SharePoint and Microsoft Graph ingestion pipelines for documents, emails and attachments. - Design and implement RAG and agentic AI workflows using Azure OpenAI. - Deliver hybrid search solutions combining semantic and vector retrieval. - Implement secure, permission-aware access controls ...

technologies. Develop RAG architectures and integrate vector search solutions. Implement orchestration workflows using Semantic Kernel and LangGraph. Integrate enterprise systems, APIs, and tools using MCP and similar frameworks. Establish AI governance, security, safety, and responsible AI practices. Lead the implementation and deployment of AI services into production environments. Collaborate with … LangGraph. Experience building multi agent architectures, RAG solutions, and complex orchestration workflows. Strong Python development skills with experience building scalable microservices. Knowledge of MCP (Model Context Protocol) and AI tool integration frameworks. Experience with event driven architectures, REST APIs, Docker, Kubernetes, MLOps, and LLMOps. Solid understanding ...

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 Azure APIM | Azure | REST ...

production deployment. Key Skills: Strong Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector databases, embeddings and semantic search Event-driven architectures ...

contract, with potential to extend into more strategic work. You will build and deploy data science solutions on AWS or GCP, and experience with MCP (Model Context Protocol) is essential. The role is London-based (SW), hybrid, with 1-2 days on-site per week. Active … Currently held and shareable (essential). AWS and/or GCP: Proven experience in either ecosystem, including serverless and data services. Data science with MCP: Hands-on data science experience alongside MCP. Python and DevOps: Strong Python ecosystem knowledge, plus Infrastructure as Code and DevOps practices supported by Python. Containers ...

DevOps, RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. … Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions Ltd is a leading independent tech ...

following areas, and at least some exposure to the other: Integrating with LLM APIs to build tools, agents and potentially multi-agent workflows (MCP and LangGraph are relevant). Cybersecurity in depth (for systems and networks, finding and closing vulnerabilities, CVEs, potentially traffic analysis and cyber-physical systems security). ...

Skills/Tech Experience Required: GCP Python Vertex AI/Gemini LangChain/LangGraph RAG/Vertex AI RAG Engine Multi-Agent Architectures MCP/A2A Terraform Kubernetes UK based for tax purposes If you're a hands-on AI/Data Engineer looking to work on cutting-edge Google ...

quality, and maintainability considerations. Essential Skills & Experience Active SC Clearance (essential). Strong hands-on experience building and deploying agentic AI solutions. Expertise in model selection, prompt engineering, agent orchestration, and tool integration. Experience applying AI across the Software Development Lifecycle … including code generation, testing, documentation, code review, and modernisation activities. Practical exposure to AI engineering tools such as GitHub Copilot, Claude Code, Codex, Kiro, MCP, or similar technologies. Proven track record defining and implementing engineering standards adopted across multiple teams or programmes. Strong stakeholder engagement skills with the ability ...