1 to 25 of 28 Model Context Protocol Jobs in the UK

focus areas include developing foundational AI platform capabilities to support wider AI adoption across engineering teams, experimenting with Model Context Protocol (MCP) integrations, AI orchestration patterns, and agent-driven development workflows. Additionally, the team will prototype AI-assisted code review systems aimed at automating code reviews, enforcing … Skills Expertise in AI-native software engineering and rapid experimentation Experience with AI platform capability development Knowledge of Model Context Protocol (MCP) and AI orchestration patterns Familiarity with agent-driven development workflows Proficiency in prototyping AI-assisted code review systems Strong understanding of AI-driven development workflows ...

LLMOps/MLOps , and cloud-native delivery. Key Responsibilities: Architecture & Design Define and evolve reference architectures for AI-powered solutions spanning data ingestion → model orchestration → inference services → application integrations ; ensure scalability, security, and observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores … designs, HLD/LLD, NFRs, and security/compliance patterns; ability to mentor squads and lead design forums. Preferred Skills Experience designing AI gateways , MCP (Model Context Protocol) implementations, and agent registries ; familiarity with metadata standards (DCAT/JSON‐LD). Exposure to enterprise AI platforms/ ...

Engineer. Minimum 2 years of hands-on experience in AI/ML or data-intensive application development . Demonstrated experience designing, building, and testing MCP-based or similar integration solutions. Proven track record delivering production-grade data pipelines and backend systems for complex applications. Technical Skills Strong proficiency with Google … Development Kit (ADK) or comparable agent frameworks. Advanced software and data engineering expertise, including: Data modeling API development Model Context Protocol (MCP) concepts Deep understanding of the agent development lifecycle and agent design patterns. Experience implementing testing strategies and iterative development practices. Languages Professional proficiency in English ...

analyse and document requirements Developing Multi Agent Solutions, Copilot Studio (PVA), Canvas apps, Cloud Flows, Desktop Flows, Dataverse artefacts, AI Builder, Business Process Flows, Model Driven Apps, Power Pages Engaging directly with teams within the client and Avanade environments to share your knowledge and upskill them Staying … working with Copilot Studio/Power Virtual Agents Expertise in Power Automate Flows (both desktop and cloud) and Computer Use Expertise in Canvas and Model-driven App development Experience in working with Dataverse Tables and data formats such as XML and JSON Competent understanding of Microsoft 365 including M365 ...

Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine … complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity ...

Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine … complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity ...

Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine … complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity ...

knowledge and experience in best practices for data governance, security, and compliance • Exposure to different LLMs, agent development frameworks, agent training and testing methodologies, MCP, A2A, and responsible AI practices will be an additional advantage • Exposure to minimum one industry verticals such as healthcare, finance, manufacturing, telco or retail with ...

C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework, design patterns. Experience using modern ...

Leeds Hybrid Senior engineer/architect responsible for building Agentic AI capabilities within the SDLC platform environment. Key skills: Agentic workflows SLM, Vector DB, MCP, RAG GitHub Copilot/AI developer tooling Cloud-native engineering GCP preferred CI/CD platforms Harness preferred Strong GitOps and engineering governance 3? Agentic ...

powered products that deliver measurable outcomes. Develop production-ready AI agents on GCP, including secure API integrations. Integrate agent capabilities into applications using MCP servers and supporting tools. Develop reliable RAG pipelines, including ingestion, chunking, metadata and vector search. Required: Strong Python skills for backend, APIs, testing and async patterns. ...

powered products that deliver measurable outcomes. Develop production-ready AI agents on GCP, including secure API integrations. Integrate agent capabilities into applications using MCP servers and supporting tools. Develop reliable RAG pipelines, including ingestion, chunking, metadata and vector search. Required: Strong Python skills for backend, APIs, testing and async patterns. ...

testing practices (TDD). Desirable Skills Python and FastAPI for backend development. Experience with AI-assisted development tools and AI agents. Awareness of Model Context Protocol. Experience working with Figma or collaborating from design files. This role is ideal for a motivated and disciplined developer, whether self-taught ...

testing practices (TDD). Desirable Skills Python and FastAPI for backend development. Experience with AI-assisted development tools and AI agents. Awareness of Model Context Protocol. Experience working with Figma or collaborating from design files. This role is ideal for a motivated and disciplined developer, whether self-taught ...

machines, and Azure Foundry. Working knowledge of C#, .NET, Docker, and Kubernetes . Ability to research, evaluate, and implement cutting-edge AI frameworks (e.g., MCP). Desirable: Experience with end-to-end deployment of GenAI orchestration and associated services. Experience creating, monitoring, and troubleshooting APIs. Knowledge of traceability, auditability ...

Azure. Experience with Python/Fast API for backend development. Experience using AI-assisted development tools. Awareness or exposure to Model Context Protocol. Experience working with Figma or collaborating from design files. Exposure to AI agents or agent-based workflows. Benefits: Competitive salary based on experience. Opportunity ...

APIs (OpenAI, Anthropic, Gemini, Grok, etc.). AI Workflows: You already use AI tools daily for a massive productivity boost. You have tried MCP, you enjoy using Skills. Engineering Rigour: You write clean, tested, documented code with security and performance in mind. Agility: You are comfortable in a fast-moving ...

trading ERP systems. Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic. Familiarity with NLP, LLM deployment, Agentic AI frameworks (MCP, A2A, N8N), and retrieval-augmented generation (RAG) systems. Roles and Responsibilities: Lead the end-to-end development and delivery of AI and machine learning solutions … vector embeddings, RAG, and generative AI models. Architect scalable AI systems capable of independent learning and continuous evolution. Provide strategic input on AI architectures, model deployment, and cloud-based scaling strategies. Collaborate across multidisciplinary teams to build AI-driven systems that enhance decision-making and operational efficiency. Develop solutions ...

Requirements: Advanced proficiency in Machine Learning and Data Science. Intermediate proficiency in Amazon Sagemaker. Experience with Retrieval-Augmented Generation, Software Development Life Cycle, and Model Context Protocol. Strong problem-solving skills and the ability to contribute to key decisions. Ability to work effectively with cross-functional teams ...

experienced architect/engineer who understands how to construct and integrate hybrid agenticworkflows and toolchains including local agents, SLM/Vector DB's, MCP/RAG/fine-tuning models. 1.Solid engineering experience with CoPilot/Agentic tools (Github CoPilot preferred), across moden cloud native engineering (GCP preferred), with solid ...

foundational technology: a distributed AI platform that has been empowering thousands of developers daily with GPUs, scalable inference, advanced agentic systems and MCP services. Combined with our renowned research publications, we ensure the latest AI technologies give you measurable returns within weeks, not months. NetMind.AI's Recent Developments: Agent Arena ...

modelling, texturing, animation) Familiarity with AWS services Experience with Perforce or similar version control Experience with AI-assisted development workflows for Unreal Engine (e.g. MCP integrations, automated code generation) A genuine understanding of behavioural psychology or psychometrics - the product is built around revealing how people think and behave, so this ...

Lead and Product Associates on rolling out a new AI-native employee benefits product. Use cutting-edge tools like Claude Code, Cursor and custom MCP integrations, with freedom to explore new AI tools that drive product innovation. As these tools develop, the line between engineering, product and design will blur ...

foundation for broader engineering teams. Ensure scalability, extensibility, and long-term maintainability. Lead Orchestration & Routing Strategy Define the technical vision for orchestration services, model routing (edge-to-cloud), and multi-agent coordination. Make architectural decisions balancing latency, cost, capability, and reliability. Design robust fallback and routing mechanisms for heterogeneous … search, and edge-cloud orchestration. Ability to independently make architectural decisions and clearly articulate trade-offs. Bonus Skills Experience with agent communication protocols (e.g., MCP or equivalent). Background in edge/on-device deployment with memory and latency constraints. Contributions to open-source agent frameworks. Experience operating ML platforms ...

robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards. • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations. • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP. • Embed security, compliance … testing. • Hands‐on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design. • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK. • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies ...