76 to 100 of 194 Model Context Protocol Jobs in the UK

track record of taking AI use cases from concept to production Strong understanding of AI agents, multi-agent systems, LLM orchestration, agent frameworks, RAG, MCP, AI governance, observability, and production-grade AI architectures Microservices, Cloud-Native, Event-Driven Architecture & Domain-Driven Design (DDD) AWS, Azure, and/or Google Cloud ...

from monolithic to microservice architectures Experience deploying or governing enterprise AI tooling (Claude Enterprise, Copilot, or similar), particularly around secure rollout, usage policies, and MCP integrations What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity ...

vendor. Experience shipping software via marketplaces (Atlassian Marketplace, monday.com Apps, and similar). Hands‐on with agentic development tooling beyond chat (Claude Code, Cursor, MCP‐based workflows, and the like). Experience taking AI features to production at scale: evaluation, cost control, latency, safety. Why us? Backed by 20+ years ...

data grounding Architect reusable AI design patterns including human‐in‐the‐loop workflows and multi‐agent coordination models Apply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC) Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectations Ensure delivery adheres to AI governance, data privacy … model evaluation approaches Hands‐on experience with multi‐agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI‐based integration Strong Python development skills and knowledge of CI/CD, DevOps, and cloud‐native architectures Practical experience with Azure (Azure OpenAI ...

/CD, build systems, artifact repositories, cloud‐native technologies, or software supply chain security; Hands‐on experience with AI Agents, RAG, tool use, MCP/Skills, AI evaluation, or AI observability; Experience with large‐scale distributed systems, globally distributed multi‐region systems, or infrastructure for AI training and inference ...

architectures Strong understanding of distributed systems, service‐to‐service communication, API Gateways, Kubernetes, cloud‐native architectures Hands‐on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross‐functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability ...

design and coordinate effective test strategies. Design, develop, execute, and maintain automated and functional tests within CI/CD pipelines. Leverage AI tools (e.g., MCP, Copilot, ChatGPT) to optimise testing efficiency and workflows. Develop and maintain scalable, self-healing automation frameworks (e.g., Playwright). Integrate AI-driven tooling into automation ...

design and coordinate effective test strategies. Design, develop, execute, and maintain automated and functional tests within CI/CD pipelines. Leverage AI tools (e.g., MCP, Copilot, ChatGPT) to optimise testing efficiency and workflows. Develop and maintain scalable, self-healing automation frameworks (e.g., Playwright). Integrate AI-driven tooling into automation ...

Grid and Integration On-Premises and SaaS Thoughtful leadership in AI to incorporate more efficient ways of working using GenAI and Agentic Agents using MCP and A2A. Working knowledge and experience in Azure DevOps and CICD to deploy Azure Integration services Architectural knowledge with good understanding of Integration Patterns, Hybrid ...

lead developer embedded within customer accounts, for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build ...

solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost Experience deploying AI solutions into production with focus on cost … evaluating multi‐agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness Confidence contributing to pre‐sales while also being able ...

backend architecture Event-driven systems Developer platforms Production AI infrastructure Experience with technologies such as OpenAI, Anthropic, LangGraph, LangChain, Kubernetes, Kafka, Vector Databases, RAG, MCP, Temporal or similar would be highly advantageous. Ideal backgrounds Current or previous: Chief Technology Officer Founding CTO Technical Co-Founder VP Engineering Head of Engineering ...

call rota as required Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining CI/CD pipelines Proven experience of source and version control tools such as GitHub Be experienced working ...

/ML solutions, ensuring security, scalability, and observability. Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance. Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations. Contributing to reusable … batch and real‐time). Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques. Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage. Strong grasp of security, privacy and governance principles (IAM, secrets, PII handling). Effective communication skills and ability to work with both ...

should have: Good understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and modern AI frameworks such as LangChain, LangGraph, MCP, with experience developing AI-powered applications. Experience working with vector databases, semantic search, and retrieval optimisation techniques, along with an understanding of context management. Experience ...

helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team … tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team ...

data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard requirement — strong product engineering judgment matters more. ...

deliver outcomes and build long‐term technical trust. Our Tech Stack Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP Who you are Experience level: 8+ years in software engineering, systems integration, DevOps, or data engineering roles with meaningful production responsibility. People leadership: proven ability ...

/UDP , packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques ( DPDK ) Familiarity with agentic engineering tools and concepts: LLMs , MCP APIs , AI‐First IDEs (e.g. Cursor, Claude Code), harness engineering , and workflow automation Ability to make sound architectural decisions, articulate trade‐offs clearly, and guide implementation ...

others. Agentic AI & LLM Engineering Design and build production‐grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM‐powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering End‐to‐end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit‐learn, PyTorch, XGBoost) and cloud‐native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery ...

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 ...

Group in London is seeking a Senior ML Engineer to advance safe, scalable agentic AI capabilities across the enterprise. You will design and operate MCP-based platforms and collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI, and Kubernetes, plus ...

record of production delivery Able to communicate ideas clearly and build strong relationships globally within the front office Previous experience of agentic design (harnesses), MCP servers, and related AI/ML python libraries Strong analytical, problem-solving, and architectural design skills, with an ability to operate effectively in a front ...

oriented programming language (e.g., JavaScript/TypeScript, Python, Java, C#, etc.). AI & Next-Gen Tech: * Hands-on experience with GenAI (e.g., Playwright with MCP). Required experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude). Knowledge of LangChain , LangGraph , or cloud environments is highly desirable (a plus ...

architects. Proven ability to manage multiple workstreams, prioritize trade-offs, and drive work through to production with high quality. Hands-on experience integrating with MCP - style patterns for connecting agents to external systems. Prior involvement in early adopter programs for new AI or platform capabilities. Extensive knowledge of web service ...