1 to 25 of 31 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 ...

Platform Engineer - TypeScript | AWS | MCP | Agentic AI Salary: £80,000 Location: London We're working with an established, technology-led business in the sports betting industry that's making a significant investment in AI, with ambitious plans to transform how its platform operates, automate complex processes and deliver increasingly personalised … Engineer to join this newly established function, working alongside an experienced technical lead to design and build a Model Context Protocol (MCP) gateway that will enable AI agents and LLMs to securely interact with the company's existing services, APIs and business logic. This is a genuine ...

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 ...

language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

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 ...

developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment (ROI). Architect and code the "connective tissue" between our clients AI products and customer's live infrastructure, including ...

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 ...

Design secure architectures for Microsoft 365 Copilot, Copilot Studio, AI agents, custom AI applications, retrieval-augmented generation, Azure AI services, third-party models and Model Context Protocol integrations. * Own the technical security control catalogue and map control objectives to architecture patterns, technology configurations, owners, evidence and testing ...

automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity ...

enterprise integrations. Strong debugging, testing and problem-solving skills. Comfortable working directly with customers and balancing rapid prototyping with production-quality engineering. Experience with MCP, agent orchestration frameworks, LLM evaluation and production AI deployments would be advantageous. ...

Architecture, Platform Engineering or DevOps Strong understanding of production AI solutions, not just AI concepts and demos Experience with AI Agents, RAG, LLMs, APIs, MCP, automation platforms and modern AI tooling The ability to explain technical concepts to both technical and non technical audiences Experience delivering workshops where attendees build ...

broader AI/ML technologies. How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains. How to develop and operate MCP-enabled solutions, evaluation suites and responsible AI controls. How to convert repeatable delivery patterns into reusable assets and accelerators for client teams. How to help clients … through production. Develop with Anthropic SDKs and APIs, applying tool use, structured outputs, streaming, prompt caching, context management and robust error handling. Build MCP clients and servers that connect agents securely to repositories, enterprise data sources, development tools and business systems. Implement RAG and context-engineering solutions using ...

document-based RAG. Strong understanding of data quality, governance and access controls. Proven ability to build and productionise scalable data solutions. Desirable: Claude Enterprise, MCP, Fabric data agents or comparable AI-to-data integration technologies. The opportunity Validate AI responses against existing Power BI reporting, then scale the capability across ...

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). ...

Understanding of data modelling concepts, metadata management, or semantic layers. Exposure to conversational AI, LLM-powered tools, or agent-based workflows. Experience with MCP connections. Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau). Familiarity with version control (Git). Familiarity with SQL – helpful for reasoning about data models ...

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 ...

experience. Experience and skills required for the Agentic AI Engineer, Agentic AI Developer, Python Fluency with modern ML toolchains (PyTorch/JAX, agentic frameworks, MCP) click apply for full job details ...

Cloud Run, Pub/Sub) Hands on experience with Kafka/Messaging Prior working experience with PostgreSQL/SQL Practical AI Agents (Tool-calling, MCP, Vertex AI) Remote (UK-based) | 6-Month Initial Contract |??£60 per hour (Umbrella) Inside IR35 If you thrive on solving complex integration challenges and want ...

platform with confidential financial data. What you'll do Build data-heavy, accessible interfaces in TypeScript and React, respecting a detailed role-based access model Design services and REST APIs in Python (FastAPI/Django) with clear OpenAPI contracts Model data in PostgreSQL: schema design, migrations, indexing … Code or similar) and a considered view on where they help Nice to have Next.js/Node.js, LLM product work (streaming, LangChain/LangGraph, MCP), Celery, Redis, OpenSearch, Kubernetes or Terraform, and financial-services or regulated-environment experience. What's on offer Close work with a leadership team with 20+ ...

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 ...