51 to 75 of 75 MCP Jobs in the UK

ll Be Doing Lead the rollout of AI across key parts of the business — from customer experience to supply chain Build intelligent workflows using tools like n8n, Claude with MCP servers, and LangChain Identify high-impact automation and personalisation opportunities Prototype, test, and implement practical solutions quickly Champion innovation and keep the team ahead of the curve on emerging AI More ❯

Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup. Languages - Proficiency in Python, SQL, ReAct (reasoning and acting patterns), and Node.js New Team build, many roles, Hiring for Mid to Lead More ❯

or high 2:1, preferably in a technical subject Proficiency in Python and its ecosystem Active engagement with the AI space and proactive exploration of new AI technologies (Agents, MCP, RAG, Chain-of-Continuous-Thought, etc. More ❯

learning services. Enhance and scale AI Platform, integrating RAG, LLMs, and ML pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely with engineering teams to implement best practices in AI deployment, security, and performance. Collaborate with clients to understand More ❯

execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability to lead and supervise other engineers and AI scientists; this role More ❯

the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies like LLMs and techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while also managing the secure, cost-effective, and scalable deployment of AI solutions in Azure. You will More ❯

the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies like LLMs and techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while also managing the secure, cost-effective, and scalable deployment of AI solutions in Azure. You will More ❯

the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies like LLMs and techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while also managing the secure, cost-effective, and scalable deployment of AI solutions in Azure. You will More ❯

Educated to Degree level or equivalent experience in Computer Science, IT application support/technical discipline. ITIL Foundation certification Microsoft Professional Qualification or equivalent experience (e.g Microsoft Certified Professional (MCP) Evidence of ongoing professional development Other Requirements Essential Empathy for individuals who have experienced mental health problems and ability to cope with behaviour which may be challenging at times. Experience More ❯

expert on Agentic Systems, and Frameworks. What You'll Do Build autonomous agents using modern agentic frameworks, tools and libraries like LangChain , Google ADK . Interface with A2A and MCP protocols Deploy to production using Docker, Terraform, GCP , with proper monitoring and observability Implement clean, tested Python code and maintain CI/CD pipelines Apply core data engineering tools: SQL More ❯

Strong coding and software engineering skills - Mission driven - Outcome focussed, rather than output - Entrepreneurial/founder mindset - Thrive in dynamic environments - Experiments with the latest advances in AI (agents, MCP, new foundation models) We have two flavours of AI engineer, so please apply if you are interested either in applied research or product building More ❯

day In order to be considered for this role you will need to have - Python, SQL, Unix, Cloud (AWS preferred) LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP Servers Front End: some experience with Typescript, REACT Application Servers, web Servers, database Servers, docker Front End (TS/React) and a Back End (Python/FastAPI) leveraging a Python More ❯

Google's ADK Design and implement advanced RAG pipelines to provide agents with deep contextual understanding Design, build, and maintain a suite of secure and scalable Model Context Protocol MCP servers Own the full lifecycle of agent development, from initial design and prototyping to deployment, monitoring, and continuous improvement Experience required: Proven background in similar AI/ML Roles Strong More ❯

Google's ADK Design and implement advanced RAG pipelines to provide agents with deep contextual understanding Design, build, and maintain a suite of secure and scalable Model Context Protocol MCP servers Own the full lifecycle of agent development, from initial design and prototyping to deployment, monitoring, and continuous improvement Experience required: Proven background in similar AI/ML Roles Strong More ❯

Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Remote Salary: Up to £120,000 , depending on experience RSG Plc is acting as an Employment Agency in relation to this vacancy. More ❯

Lead the integration of AI across all aspects of Years, from customer-facing applications to internal operations Design and implement AI-powered solutions using tools like n8n, Claude with MCP Servers, and LangChain Develop intelligent automation workflows that enhance efficiency and enable new capabilities Collaborate with cross-functional teams to identify and prioritise AI opportunities Stay current with AI developments More ❯

and validate user experiences. Design end-to-end experiences in Figma which is the source of truth. Leverage AI-assisted design-to-code tools - such as Figma Dev Mode MCP, and GitHub Copilot - to translate high-fidelity designs into functional, high quality code for our web and mobile products. Help evolve our design system to ensure consistency, scalability, and seamless More ❯

understanding of how they facilitate agentic AI development. Strong practical knowledge of prompt engineering techniques and advanced LLM concepts, such as CoT reasoning, prompt chaining, iterative refinement, RAG techniques, MCP, multi-agent architectures, and a clear understanding of when each should be applied. Proven experience with Cloud technologies on GCP or AWS (GCP preferred) including serverless architectures and microservices development. More ❯

and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join … We are looking for a Senior GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals More ❯

At Honu we're looking for a Tech Lead to lead our AI Platform efforts. Full-time London, UK About the job Honu is looking for a Hands-on Tech Lead to join our small agile team and take a More ❯

lead the backend development of a powerful, self-service agent platform. This platform allows engineers and business users to design, configure, and deploy AI agents using Model Context Protocol (MCP) and AWS Bedrock. If you thrive in a fast-paced, innovation-driven environment, this role is for you. Important: Only candidates with active SC clearance can be considered. What You … ll Do: Design and build robust backend services using Next.js, Node.js, and AWS Bedrock Architect and implement MCP servers to support dynamic agent creation and deployment Develop scalable, secure RESTful APIs and GraphQL endpoints Integrate AWS foundation models and optimise their performance across use cases Create abstraction layers so non-technical users can deploy AI agents easily Implement strong logging … Solid background in SQL and NoSQL databases Ability to work independently and drive architecture decisions A relevant degree or equivalent experience Desirable: Experience with Kubernetes and OpenShift Familiarity with MCP or agent-based frameworks Knowledge of LangChain, LlamaIndex, or other orchestration tools Background in building developer tools or platforms Understanding of LLM prompt engineering and optimization Experience with Terraform or More ❯

deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler … Continuous Learning: Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting-edge technologies. Preferred Requirements Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Familiarity with prompt governance, observability, and monitoring frameworks. Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Prior exposure to conversational voice pipelines or multimodal More ❯

and Automation languages Experience with agentic architectures, designing autonomous systems that combine multiple AI components to perform complex tasks (would be a great plus) Understanding of Model-Context-Protocol (MCP) and how to build AI agents that can leverage MCP servers (would be a great plus) Knowledge of Retrieval-Augmented Generation (RAG) techniques to enhance model responses by integrating external … NumPy, or PydanticAI? We're particularly interested in how you've applied these tools in real-world projects Have you designed or worked with agentic AI systems (e.g., using MCP or autonomous agents)? By checking this box, I agree to allow Lucanet Group to retain my data for future opportunities for employment for up to 180 days after the conclusion More ❯

team separate hype from value. Bring a practical understanding of AI UX challenges, including latency, user trust, transparency, and failure handling. Apply a working knowledge of Model Context Protocol (MCP) to create robust, context-aware AI systems. Contribute to the ongoing evolution of our engineering culture and team processes. Minimum Qualifications Strong understanding of AI system design, including context orchestration … e.g. MCP), prompt engineering, and tool use. Awareness of the UX, performance, and reliability pitfalls specific to AI-powered features. 5+ years of experience building and scaling web applications. Proficient with at least one modern backend language (e.g. Go, Python, Rust). Strong grasp of software architecture, design principles, and API development. Basic understanding of machine learning and deep learning More ❯

team separate hype from value. Bring a practical understanding of AI UX challenges, including latency, user trust, transparency, and failure handling. Apply a working knowledge of Model Context Protocol (MCP) to create robust, context-aware AI systems. Contribute to the ongoing evolution of our engineering culture and team processes. Minimum Qualifications Strong understanding of AI system design, including context orchestration … e.g. MCP), prompt engineering, and tool use. Awareness of the UX, performance, and reliability pitfalls specific to AI-powered features. 5+ years of experience building and scaling web applications. Proficient with at least one modern backend language (e.g. Go, Python, Rust). Strong grasp of software architecture, design principles, and API development. Basic understanding of machine learning and deep learning More ❯