1 to 25 of 46 Model Context Protocol Jobs in the UK

Lead the full product lifecycle from ideation and proof of concept to launch and continuous optimisation. Partner with cross-functional teams to embed LLMs, MCP (Model Context Protocol), and autonomous AI agents into scalable enterprise products. Work closely with GTM and marketing teams to develop compelling positioning … LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware intelligence. Expected Impact & Outcomes Launch of AI-powered ...

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 ...

emerging threats while enabling secure and scalable AI delivery. This role covers the full AI security lifecycle, including threat modeling, prompt injection defenses, securing model supply chains, hardening RAG pipelines, and building scalable security tooling. You will act as the subject matter expert on AI security, responsible … Guard, LLM Guard, Lakera Guard; Experience with vector database security: Pinecone, Weaviate, ChromaDB, pgvector access control and data isolation; Knowledge of emerging AI standards: MCP (Model Context Protocol), Agent‐to‐Agent (A2A) Protocol, and AI gateway patterns; Security certifications: CISSP, CISM, OSCP, GIAC (GPEN/GWAPT ...

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 ...

what's possible when AI is deeply integrated throughout the software development lifecycle, working with the latest AI technologies including Claude Code, GitHub Copilot, MCP, LLMs. Senior Software Engineer will: Develop and maintain software applications using Java Implement AI solutions to enhance software functionality and accelerate development workflows Collaborate with … experience in software development Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable ...

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 ...

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 ...

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 ...

experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation … like Pegasus, Ragas, DeepEval Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP Strong programming skills in Python (experience with LangChain/LangGraph/LangSmith frameworks) and TypeScript (preferable) Solid understanding of LLMs, prompt engineering, and graph-based ...

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 of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows Track record of defining engineering best practice or developer experience within ...

much more What do we need from you? PyTorch, Python , understanding of the machine learning ecosystem AWS Agentic AI Experience with LLMs, NLPs, MCP Servers Sound like you? No CV is needed at this stage - we can cross that bridge later. Simply press the 'Easy Apply' button ...

Python, React, Next.js and TypeScript Solid experience with AWS and modern infrastructure practices Exposure to AI driven systems or LLM integrations Familiarity with MCP, LangChain, or equivalent frameworks for agentic or AI-powered systems. A builder mindset with end to end ownership Why Join Foundational role in a high growth ...

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 ...

facing engineering role - forward deployed engineering, technical consulting, or engineering advisory Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development External presence - writing, speaking, or community contribution in the software engineering or engineering leadership space Experience working alongside or within partner ecosystems such ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service … core banking, CRM, risk, payments) Design audit ready agent interactions, tool usage logs, and decision provenance Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns) Hands on expertise with agentic frameworks (orchestrators) Experience with LLMs, prompt engineering, tool/function calling, memory management API first integration, event driven ...

potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking … using Python Hands-on Experience with API Development and Microservices architecture and End to End integrations Knowledge of RAG (Retrieval-Augmented Generation) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows Hands-on Experience with API Development and Microservices architecture Experience in CI/CD pipelines ...

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 ...

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 ...