26 to 50 of 62 Model Context Protocol Jobs in the UK

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. ...

pipelines You have strong communication and collaboration skills, comfortable contributing to technical discussions, working closely with product teams and mentoring others Familiarity with MCP and modern AI tooling would be beneficial What's in it for you: Salary to £80k Personalised training budget Pension Healthcare including dental and optical Various ...

cloud-hosted applications, with App Insights for monitoring. Active use of AI coding assistants and experience integrating LLM APIs and building agentic workflows or MCP servers. Strong working knowledge of security principles including OWASP Top 10, GDPR, and ISO27001. Experience in a small team or full-stack ownership environment, comfortable ...

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 ...

integration experience AI tools - Claude Code or GitHub Copilot Hands-on experience using OpenAI or Anthropic Highly desirable: Python AI tooling and evaluation scripts MCP server build experience Cyber Resilience Act and AI Act insight Undertake code reviews Knowledge sharing of AI best practice ...

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 ...

check what they produce A structured, detail-focused approach and the confidence to work across several teams at once Desirable: Playwright (especially Playwright MCP), Selenium or Puppeteer, API testing, Azure Synapse, Microsoft Fabric, Power BI, Tableau, UiPath, cloud platforms, a degree in Computer Science or a related subject This role ...

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 ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. Why apply? This ...

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 & Experience 4+ years in Product Management experience - in fast-paced and agile environments. Proven track record of shipping B2B SaaS or enterprise software; MCP and headless experience is a strong plus. Comfortable owning a technical product - able to hold your own with engineers on architecture, performance and trade ...

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 ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity This ...

LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree or above from a Russell Group university in Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering … Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

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+ ...

looking for: Strong Solutions Architecture experience across cloud, integration and APIs Proven experience designing Generative AI, LLM and agentic AI solutions Knowledge of MCP, AI agent frameworks and tool integration Experience with AI governance, security and evaluation Excellent stakeholder engagement and technical leadership skills A fantastic opportunity to shape ...

with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production systems. Experience … Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/CD pipelines with delivering AI solutions from concept to production. Some other highly valued skills may include: Excellent communication ...

cases and operational requirements Produce lightweight technical documentation, diagrams and decision records Quality, reliability and AI operations Implement evaluation frameworks and safety checks across model and agent behaviour Build monitoring, logging, tracing and incident-handling patterns Apply governance, risk and compliance principles to AI deployments Support release cycles, environments … data engineering Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector stores Practical experience building multi-agent systems, agent orchestration or MCP-style tool patterns Strong Python, with a track record of production-grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex ...

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 ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...

experience with C# ideally Python experience Entra experience Azure Cloud experience - including Azure functions such as Service Bus, Azure DevOps AI Foundry API MCP Frontier AI tools and Models Large Language Models SQL DevOps understanding/experience Retrieval Augmented Generation (RAG) Desirable experience: Experience with other cloud platforms Azure certifications … Solutions Architect, AI Foundry, Azure, AZ-305, AZ-104, AI-103, TOGAF, Zachman, Python, C#, Agile, Azure AI, Agentic, OpenAI, LLM, Integration, API, MCP, Retrieval Augmented Generation, RAG, SQL, PostgreSQL, DevOps, Azure Functions, Service Bus, Cosmos, Solutions Architect, AI Architect, AI Solutions Architect, AI Foundry, Azure ...

real codebases, and measure the results honestly. You'll use the best available models, coding agents and open-source tools. This isn't a model-building or research role. What they're looking for: Strong professional software engineering experience, including building and operating production software Excellent programming and software … Credibility with engineers and the ability to influence without line authority, including winning over sceptics Helpful: Bitbucket, Jenkins/Harness, Docker, Kubernetes, AWS, FastAPI, MCP, DORA-style measurement, RAG and vector search, self-hosted open-weight models, or a regulated environment such as gambling or financial services Guidant, Carbon60, Lorien ...

tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security … projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into it Desirable: Vector databases, embeddings, fine-tuning Cloud experience ...