15 of 15 Model Context Protocol Jobs in the North of England

frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into … both frontend and backend development, combined with hands‐on experience building production‐ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect ...

bridge between cutting‐edge AI technologies and existing high‐code and low‐code platforms, the role focuses on AI enablement rather than foundational model building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering … automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant. Implement Model Context Protocol (MCP) servers for secure AI‐to‐system connectivity. Lead AI‐based document parsing and intelligent data extraction initiatives. Contribute to educating and enabling Enterprise Capabilities areas ...

Understanding of AI governance, security, privacy and responsible AI principles. Experience with Microsoft Copilot, Azure AI, AWS Bedrock, Model Context Protocol (MCP), knowledge graphs or enterprise search technologies would be an advantage—though it's not essential. Why Join Vix? This is an opportunity to shape ...

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 ...

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 ...

agents across the business. You will own delivery, scale the function, and define its future. You\'ll work with Claude, Claude Code, MCP, LangChain to implement multi-agent systems, RAG pipelines, and tooling. This is a hands-on leadership role with three engineers initially. The role is fully remote within ...

architecture, and collaborate with product managers, engineers, and client teams to build reusable AI-enabled services. You will apply AI-native engineering, integrate with MCP tooling, and work with Azure. The role emphasizes practical delivery, production-ready code, and balancing native vs bespoke solutions in a fast-paced GenAI environment. ...

OneReach.ai, LangChain or similar orchestration frameworks for conversational AI. Design and optimise Retrieval-Augmented Generation (RAG) pipelines, including embedding generation, vector database configuration, API, MCP and retrieval tuning to improve accuracy, latency, and relevance in conversational AI. Prompt optimisation of closed source LLMs, or post-training of open-source LLMs … build new or improve existing agentic workflows. Understand and guide on evaluation frameworks to measure model safety, accuracy, and performance, including recall, precision, F1-score, and other relevant metrics for both conversational AI and classification models. Collaborate with our DevOps team to produce MLOps pipelines to speed up experimentation ...

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 … products and platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Salary £70,000 - £100,000 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 ...

agents in the loop on every change. That's leverage, and it's a new attack surface: prompt injection against agent harnesses, untrusted MCP server outputs, IAM scope creep on agent‐driven tooling, model and prompt supply chain. You'll own the security layer of our agent platform: sandbox … paths, KMS misuse, and the defences for each Incident response leadership end‐to‐end on a real incident (containment, eradication, forensics, write‐up) Authoring MCP servers or custom agent tools with a security lens Product Security Engineer Job Description 3 Familiarity with AGENTS.md/CLAUDE.md patterns and skill authoring Cryptography ...

agent sessions, and review outcomes critically before they ship. Build and maintain the team’s agentic tooling: custom Claude Code skills and sub-agents, MCP tools exposing internal APIs, prompt/context conventions (CLAUDE.md), and automated review pipelines. Design the verification that makes agent speed safe: test strategy, quality … communication: design docs, specifications, PR descriptions, and commit history that both humans and agents can act on. Bonus points if you have Experience building MCP servers or exposing internal APIs as agent-callable tools. Experience with LLM evaluation: eval suites, behavioural test design, or benchmarking agent workflows. Functional programming ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks … prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy or client-facing delivery experience Desirable: Vector databases, embeddings, fine-tuning Cloud experience (AWS preferred) Open-source contributions or visible ...

product manager and under the technical direction of a Lead Engineer. Apply AI‐native engineering, using the GenAI platform for backend plumbing, API integrations, MCP server builds, and data connections. Design architecture, integrations, and data flow within the platform, using engineering judgement to decide when to solve natively versus bespoke. … platform natively versus bespoke engineering. Familiarity with Azure and Microsoft 365 is an advantage. Hands‐on experience with LLM integration patterns, MCP tooling, and AI‐enabled or agentic development environments. Comfortable using GenAI tools such as Copilot, Claude or ChatGPT to prototype and iterate solutions. Inclusive Culture We value uniqueness ...

Risk assessing AI integrations requires technical depth and will form the core of the role. Develop and maintain a deep working understanding of how MCP servers, API connections, permission scopes, and agentic frameworks function in practice, and what each means for data exposure, privilege escalation, and system integrity. Assess … independently. Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions that exceed what the integration ...