101 to 125 of 361 Model Context Protocol Jobs in England

software engineering foundations, including version control, automated testing, and monitoring; Nice to have: Experience with agentic AI systems, GenAI and LLM systems in production, MCP, MLOps pipelines, real-time or streaming systems. Условия Competitive salary and company bonus scheme; Group pension scheme; Group healthcare and life assurance scheme; Hybrid working ...

Kubernetes, CI/CD, and major cloud platforms Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks Agentic/Integrations: MCP, Salesforce/SAP/Other Excellent communication with both technical and executive stakeholders Mentorship capability and collaborative team-first mindset BS/MS/ ...

Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability ...

Sound judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously. Preferred experience Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one. Experience in a scale-up, SaaS, or other ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

matrixed organizations. Experience driving the full product lifecycle, writing product documents, and leading technology teams from idea to execution and launch. Familiarity with AI model architectures, including Large Language Models, and methods such as prompting, context engineering, fine-tuning, retrieval augmented generation, model context protocols ...

work with or learn Go Hands-on experience building and operating production AI applications using large language models and agentic frameworks Understanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt design Experience creating reliable AI agents through evaluation, guardrails and token and cost optimisation Proficiency with ...

services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using Git and CI/CD pipelines. Support and mentor team members ...

services. Work with business and technical stakeholders to turn requirements into technical solutions. Exposure to integrating AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Manage code using Git and CI/CD pipelines. Support and mentor team members ...

production issues are a normal, expected part of the job, not an interruption to it. Design internal tools such as CLIs, APIs, and MCP servers that make your team and others faster, and that let both humans and AI agents work with our data safely and effectively. Work directly with ...

integration into SOAR, case management, or analyst tooling. Demonstrated track record shipping AI-augmented incident response capabilities in a large enterprise. Working knowledge of MCP server architectures and emerging agentic frameworks for SOC use cases. Deep expertise across the full IR lifecycle: triage, scoping, containment, eradication, recovery, evidence handling, post ...

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 ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

ongoing transition from monolithic to distributed architecture. Help design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Make sound technical decisions for the components you own, balancing immediate needs with long-term goals. Hands-On Development Write production-quality Python code ...

security architectures Strong understanding of distributed systems,service-to-service communication, API Gateways, Kubernetes, cloud-native architecturesHands-on experience working with emerging agentic protocols (MCP, A2A) and interoperability patternsProven ability to work cross-functionally with engineering, security, product, and platform organizationsExcellent communication and storytelling skills, with the ability to articulate ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excellence for all of our AI products Rapidly iterate ...

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 ...

their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

accelerate analysis. Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools. Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats. … Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc. Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows. Excellent written and verbal communication skills ...

AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks . Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors . Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel . Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets ...

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 ...