1 to 25 of 29 Permanent Model Context Protocol Jobs in the UK

patterns, service decomposition, and legacy migration strategies AI/LLM Implementation (Critical Differentiator) Hands-on experience building with Model Context Protocol (MCP) Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work Experience implementing AI in CI/CD pipelines (code review … measurable improvements: faster APIs, better performance, higher reliability AI Implementation & Automation (50%) Build AI-Powered Development Infrastructure Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation ...

Ability to contribute to responsive frontend code when needed Hands-on experience using AI-assisted development tools (e.g. Cursor, GitHub Copilot) including prompt engineering, context management, and evaluating AI-generated code critically Familiarity with agentic coding workflows — using AI agents to scaffold, refactor, test, and document code autonomously DevOps … LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop workflows Understanding of MCP (Model Context Protocol) or similar standards for connecting AI models to external tools and data sources Knowledge of LLM evaluation methods — measuring ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

specialised search services, such as sequence and chemical searches, with modern AI agents using emerging standards like the Model Context Protocol (MCP). Your role You will be responsible for designing, developing, and deploying prototype services that enable natural language queries across EBI metadata and selected data … type specific searches. You will: Implement MCP-based services to expose search endpoints to AI agents. Develop a central NLQ entry point integrating metadata search and specialised search modalities. Support multilingual search and text summarisation. Work closely with the user community, organising workshops, surveys, and UX testing to capture evolving ...

deploy machine learning/deep learning models , particularly within pricing and forecasting contexts Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant) Influence product and engineering teams to adopt AI-first thinking Help modernise and evolve legacy systems into scalable, future-ready architectures Drive standardisation … outputs Experience integrating AI into production environments via API-based architectures Data & Architecture Experience consuming and working with data via APIs Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential) Ability to work with complex, distributed and evolving data environments Machine Learning Strong grounding ...

London, Sydney, and Vancouver, Particular Audience works with global enterprise retailers and advocates for open standards like the Model Context Protocol (MCP). The company's DiscoveryOS powers decision-making at every stage of the shopper's journey, ensuring impactful retail experiences. Role Description This ...

build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines Lead and develop team members across software, data, platform ...

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 ...

financial markets. Day-to-day, this means building scalable pipelines from research through to production, implementing agentic AI solutions (fine-tuning, prompt engineering, MCP connectors, multi-agent frameworks), and developing evaluation and monitoring frameworks for models in live environments. You'll work closely with portfolio managers and researchers to identify ...

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 ...

least one object oriented programming language (JavaScript/TypeScript, Python, Java, C#, etc) You have hands-on experience with GenAI, (e.g. Playwright with MCP). Experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude) is required, knowledge of LangChain or LangGraph, and cloud environments is a plus. You love ...

Hands-on experience with platforms such as Azure ML Studio, Palantir Foundry, or Databricks Mosaic . Familiarity with NLP, LLM deployment, agent-based AI (MCP, A2A, N8N), and advanced RAG architectures . Roles and Responsibilities: Lead the end‐to‐end development, deployment, and delivery of AI and machine learning solutions … model training, evaluation, optimisation, and production deployment. Serve as a thought leader on emerging AI technologies, including LLMs, generative AI, agent-based systems (MCP, A2A, N8N), and advanced RAG frameworks , helping guide innovation and best practices. Communicate complex technical concepts to non‐technical stakeholders, providing clear strategic recommendations ...

About the context**The Principal Architect - Intelligent Automation drives the strategic technology roadmap and high-level design for Intelligent Automation (Low Code, Digital Automation, Conversational AI and Agentic AI) within the global corporate domains. In addition, they will play a key role in animating the global community of Intelligent … architecture patterns and reference architectures for Agentic AI solutions, leveraging Azure AI Foundry as the pro-code platform - including multi-agent orchestration, tool integration (MCP, A2A, OpenAPI), agent memory, and enterprise knowledge grounding (RAG)* Assess opportunities for Intelligent Automation based on technical feasibility and business value, to enable prioritisation ...

That instinct is exactly what this team needs. The company This is an AI‐native integration layer for SaaS products and agents: unified APIs, MCP‐friendly tooling and A2A (agent‐to‐app and app‐to‐app) bridges so builders can wire their products into hundreds of third‐party tools without ...

design, motion, and interaction detail. Great taste. Experience integrating LLMs into products, whether that's AI-powered prototyping, agent systems, or orchestration. MCP experience is a plus. Deep expertise in at least one programming language (JavaScript, Kotlin, Swift, or similar). We expect you'll use AI tools to accelerate ...

including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous improvement workflows. Design, build, and optimize robust data pipelines … Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ELT pipelines, DLT, Delta Lake Infrastructure as Code (IaC): Terraform, ARM templates, Ansible Version Control & DevOps: Git, Azure DevOps ...

BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive … whole surface from UI to infrastructure AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs Claude Code proficiency is essential — we build with it daily and we'll want ...

that is how we grow. We are a distributed team and have been since day 1. We build solutions for distributed workforces so we model our workforce the same way. In this role you really can work where you want within the United States. Responsibilities Drive the strategy, design … processes, and data modeling best practices. Strong knowledge of SQL, Python and TypeScript. Knowledge of AI tools including Langchain, Open AI Agents, and MCP APIs. Excellent communication skills and understanding of the realities of developing in a startup environment (i.e. you know the difference between small problems and big ones ...

Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate … systems Experience shipping AI-powered features into production environments Proficiency in at least two modern programming languages Familiarity with emerging AI tooling (e.g. MCP, A2A, Threads or similar) Consultancy or client-facing technology delivery experience Desirable: Experience with vector databases, embeddings, or model fine-tuning Cloud platform experience ...

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 … platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Competitive salary (£70,000 - £90,000) 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 a growing ...

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 ...

services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/… similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours Communicates clearly with technical and non-technical ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java/Microservices/API design/LLMs/AI/Claude ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java/Microservices/API design/LLMs/AI/Claude ...