1 to 25 of 45 Model Context Protocol Jobs in the UK excluding London

frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into … both frontend and backend development, combined with hands‐on experience building production‐ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect ...

Lead the full product lifecycle from ideation and proof of concept to launch and continuous optimisation. Partner with cross-functional teams to embed LLMs, MCP (Model Context Protocol), and autonomous AI agents into scalable enterprise products. Work closely with GTM and marketing teams to develop compelling positioning … LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware intelligence. Expected Impact & Outcomes Launch of AI-powered ...

prompt management solutions. Configure and secure API gateways for internally developed AI services and third-party integrations, including Model Context Protocol (MCP) connectors. Provision and maintain sandbox and staging environments to support rapid AI development and experimentation. Work closely with Information Security and Compliance teams to ensure … solutions Serverless inference Containerised AI workloads Model versioning and evaluation pipelines Experience configuring and securing API gateways and AI integration services. Understanding of MCP (Model Context Protocol) and modern AI connector architectures. Strong Infrastructure-as-Code experience using Terraform. Experience working with CI/CD pipelines ...

will ideally have the following attributes: Experience building multi-agent workflows and autonomous AI systems Knowledge of the Model Context Protocol (MCP) and AI integration patterns Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search Experience working with OpenAI and other leading foundation … environments Developing multi-agent workflows to automate complex business processes Implementing AI orchestration using modern frameworks and the Model Context Protocol (MCP) Designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector databases Building scalable AI services and data processing pipelines using Python Developing real-time ...

workflows using approved AI platforms Develop API-driven integrations across AI, Microsoft, and enterprise systems Configure and manage Model Context Protocol (MCP) server implementations Collaborate with business leaders to identify and deliver automation opportunities Manage AI solution delivery from intake through deployment and support Ensure governance, security … workflows in production environments Background in legal technology, professional services, or another compliance-sensitive environment Working knowledge of Model Context Protocol (MCP) server configuration and deployment Familiarity with ethical walls, conflict management systems, and matter-based security models Experience integrating large language model APIs and deploying ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Multiverse works AI-native. The ways of working that make this role possible are constantly being refined. You contribute the patterns, tooling, and operating model, prove them in how your own team runs, and share what works with the wider org. What We Are Looking For Product Ownership … native org Experience in EdTech, regulated content, or domains where AI output quality has compliance or accreditation implications Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Traditional engineering managers who run delivery and ceremonies ...

Systems RAG Retrieval Augmented Generation Prompt Engineering AI Evaluation AI Observability AI Governance Responsible AI AI Security Guardrails Model Context Protocol (MCP) Function Calling Tool Use AI Orchestration AI Platforms Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain ...

Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate them into working … build client confidence. Comfortable working autonomously and shaping ambiguity into repeatable, scalable delivery. Advantageous Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, vector databases, and evaluation/testing approaches for AI systems. Experience mentoring or leading small development teams. Why BCN? The opportunity to shape your ...

engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI-driven features that hold up under real workloads. The work varies a lot. … solutions for large-scale environments supporting hundreds or thousands of Salesforce users. • Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling. Consulting & Delivery • Proven experience translating complex business requirements and user stories into scalable technical solutions. • Experience ...

Docker and Kubernetes • Solid grasp of API integration, tool/function calling and agent orchestration Nice to have • Model Context Protocol (MCP) • Kafka or event-driven architectures • MLOps, LLM evaluation, observability and monitoring To apply or find out more, get in touch. #ContractJobs #AIJobs #GenAI #AIEngineer #LangGraph ...

assisted software development. Ideally, you’ll have experience of, or a genuine interest in: Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern ...

assisted software development. Ideally, you’ll have experience of, or a genuine interest in: Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) AI Agents and Agentic Workflows AI-assisted software development using tools such as Claude Code, GitHub Copilot or Cursor Prompt engineering API integrations with modern ...

Additional Skills/Preferences Experience developing AI‐enabled software solutions, including integration of REST APIs, Python‐based automation, Model Context Protocol (MCP), agent frameworks, and structured tools that expose product capabilities to AI assistants and autonomous agents. Experience developing engineering, simulation, CAD, CAE, EDA, scientific, or other ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

Azure OpenAI Design, develop and support secure REST APIs using C# and .NET Build and manage Azure Functions and serverless services Develop and support MCP Servers and AI integration services Design event-driven architectures using Azure Service Bus Manage APIs through Azure API Management Expose AI capabilities through secure, auditable … design and development Azure AI Foundry Azure OpenAI Event-driven architecture Azure integration engineering Secure API design Production support and operational ownership Desirable Experience MCP Servers Model Context Protocol Semantic Kernel Prompt Flow Agentic AI AI orchestration frameworks Copilot Studio Power Platform integrations RAG architectures AI governance ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks — and can describe projects where you shipped real work with these tools. You know how to drive an agent ...

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 ...

gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience with Claude/Anthropic, OpenAI, Microsoft Copilot families, including MCP, connectors, skills, and trade-offs. Strong understanding of AI testing disciplines (accuracy, hallucination, bias, prompt evaluations) and AI governance/risk (DPIA, data classification, FCA considerations ...

vendor. Experience shipping software via marketplaces (Atlassian Marketplace, monday.com Apps, and similar). Hands‐on with agentic development tooling beyond chat (Claude Code, Cursor, MCP‐based workflows, and the like). Experience taking AI features to production at scale: evaluation, cost control, latency, safety. Why us? Backed by 20+ years ...

design and coordinate effective test strategies. Design, develop, execute, and maintain automated and functional tests within CI/CD pipelines. Leverage AI tools (e.g., MCP, Copilot, ChatGPT) to optimise testing efficiency and workflows. Develop and maintain scalable, self-healing automation frameworks (e.g., Playwright). Integrate AI-driven tooling into automation ...

Grid and Integration On-Premises and SaaS Thoughtful leadership in AI to incorporate more efficient ways of working using GenAI and Agentic Agents using MCP and A2A. Working knowledge and experience in Azure DevOps and CICD to deploy Azure Integration services Architectural knowledge with good understanding of Integration Patterns, Hybrid ...

should have: Good understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and modern AI frameworks such as LangChain, LangGraph, MCP, with experience developing AI-powered applications. Experience working with vector databases, semantic search, and retrieval optimisation techniques, along with an understanding of context management. Experience ...

oriented programming language (e.g., JavaScript/TypeScript, Python, Java, C#, etc.). AI & Next-Gen Tech: * Hands-on experience with GenAI (e.g., Playwright with MCP). Required experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude). Knowledge of LangChain , LangGraph , or cloud environments is highly desirable (a plus ...