22 of 22 Permanent Model Context Protocol Jobs in the UK excluding London

large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery of AI tools, in particular Claude Desktop and Claude Code, with day-to-day use to work faster … agents, defining how each capability is exposed and packaged for agent-based consumption Recommend the best distribution channel for each business service, evaluating MCP, MCP App, and other options based on customer fit, reach, and technical trade-offs Build prototypes to test in front of internal and external clients, validating ...

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 ...

incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … . Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...

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 ...

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 ...

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 ...

AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks . Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors . Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel . Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets ...

guide and review AI-generated code with confidence. Hands-on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup ...

with genuine product and commercial ownership. It suits engineers who live at the current edge of AI development—Claude Code, Cursor, agents, eval harnesses, MCP ,modern TypeScript and Python—and who are equally at home at a whiteboard in front of a client's executive team What … your own orchestration layer. Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors. Apply RAG techniques where they actually help: vector databases (Pinecone, Chroma, Weaviate, pgvector),hybrid retrieval with ElasticSearch or Solr, and BM25 + similarity ...

changing software development. Using Copilot occasionally isn't really what we mean. Perhaps you're experimenting with Claude Code, coding agents, MCP, local LLMs, agentic workflows, automated testing/review, AI-assisted architecture or your own development tooling . You don't need to agree with every current trend ...

React: the agents people talk to and the apps they click through, built in TypeScript. And you don't stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including ...

Claude (Anthropic) or Copilot Highly desirable (not essential): • Python for AI tooling and evaluation scripts • Semantic Kernel or LangChain frameworks • Linux/Docker • MCP experience If you feel this role meets some of the above skillset and open to learning more about AI tools whilst in post, my client offers ...

Claude (Anthropic) or Copilot Highly desirable (not essential): Python for AI tooling and evaluation scripts Semantic Kernel or LangChain frameworks Linux/Docker MCP experience If you feel this role meets some of the above skillset and open to learning more about AI tools whilst in post, my client offers ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … products and platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Salary £70,000 - £100,000 Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

Risk assessing AI integrations requires technical depth and will form the core of the role. Develop and maintain a deep working understanding of how MCP servers, API connections, permission scopes, and agentic frameworks function in practice, and what each means for data exposure, privilege escalation, and system integrity. Assess … independently. Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions that exceed what the integration ...