11 of 11 Permanent Model Context Protocol Jobs in West Yorkshire

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 ...

complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic … Develop reproducible environments with deterministic verification and golden reference solutions . Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers . Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability . Apply strong knowledge of algorithms, data structures ...

complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic … Develop reproducible environments with deterministic verification and golden reference solutions . Design workflows that require AI agents to discover and reason over information using MCP tools and real MCP servers . Evaluate AI-generated software solutions for correctness, maintainability, performance, and scalability . Apply strong knowledge of algorithms, data structures ...

Claude Desktop. Best practice for using model harness such as Claude Code or Codex. Best practice for Model Context Protocol (MCP) tools within an large organisation. AI solution evaluation: Implement frameworks and approaches to evaluate model performance against business objectives, through the full lifecycle (including … such as Promptfoo, Ragas & Langfuse. AI security: Governance, Compliance, Threats & mitigations : Experience of security governance and assurance for AI solutions, including data protection, privacy, model governance. You and your role Our Architects lead the design and governance of strategic technology solutions, working with senior stakeholders across DWP Digital ...

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 working ...

under pressure. Understand, or want to build expertise in, RBAC/OIDC and disciplined API key lifecycle management. Are familiar with, or interested in, MCP or comparable service-registry patterns — a strong signal at any level. What we’ll offer you: We trust people to do their best work. That ...

what is delivered Mentor engineers on craft, and develop their judgement about when and how to use AI tooling Build and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platform Build systems, tools and solutions in an AI-native way Represent engineering ...

with a client in a high-traffic, heavily regulated consumer sector. You'll own how the platform runs. That means the Kubernetes infrastructure behind model serving, agent orchestration and batch inference. It means the CI/CD pipelines that ship models, agents, tools and prompt changes. It means … operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security: VPC design, service mesh and zero‐trust patterns. Domain & Sector Experience Regulated industries: Experience running platforms under strict ...

turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks to measure accuracy and reliability Working … data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client-facing experience and an understanding of enterprise security, compliance and legacy environments High autonomy, strong communication ...

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 … interested in applying AI to enhance real-world products and platforms. What's in it for me? 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 ...

develop their judgement on using AI tooling Set standards for how technical problems are solved Be accountable for shipped deliverables Build and maintain integrations, MCP builds, API connections, and infrastructure supporting the GenAI platform Build systems, tools, and solutions in an AI-native way Represent engineering with senior stakeholders … Solving Soft Skills Mentoring Stakeholder Communication Problem-Solving Collaboration Industry Keywords Technical Direction Integration Delivery Quality Matrix Structure Tools & Technologies GenAI Tools API Connections MCP Builds AI-Enabled Tools #J-18808-Ljbffr ...