23 of 23 Model Context Protocol Jobs in the UK excluding London

bridging the gap between engineering and the broader organisation. Tech Leads are expected to actively drive AI-native culture within their team and model best practice for everyone they manage. The step from Technical Project Lead to Tech Lead is the most significant transition in the engineering career path. … implementation level, including design, risks, and appropriate usage Understand and work with skills as reusable AI capabilities Have a strong working knowledge of MCP (Model Context Protocol), including tool access, context management, and security implications Set expectations for AI tool use within the team, defining what ...

Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping … development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length ...

Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Familiar with AI orchestration and agentic frameworks. Experience with tools for automated testing and evaluation of AI outputs. Knowledge of AI ethics ...

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 ...

guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards … production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across ...

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.We’re a fantastic team ...

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 ...

analysis tools such as Matlab Simulink (e.g. optimisation and ML toolboxes), PySpark and Jupyter notebooks. Work on projects on areas such as agentic AI, MCP, RAG, generative AI, trust and security, driving innovations from concept through PoC to MVP. Experience with semantic web technologies; RDF, OWL, knowledge graph and ontologies ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

Build and lead globally distributed security engineering teams and manage large budgets and vendor relationships with rigour Secure agentic AI and LLM infrastructure including MCP server security, AI gateway controls and GPU cluster hardening Manage TIBER-EU/CBEST red team scoping and remediation programmes Plan quantum-safe cryptography transition ...

individual-contributor role for engineers who live at the current edge of AI development and work fluently with Claude Code, Cursor, agents, eval harnesses, MCP, and modern TypeScript and Python. What You’ll Do Problem/Opportunity Discovery Sit with a business or clinical leader and reframe an idea … your own orchestration layer. Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors. Apply RAG techniques where they actually help: vector databases (Pinecone, Chroma, Weaviate, pgvector), hybrid retrieval with Elasticsearch or Solr, and BM25 + similarity ...

LLMs. Skills Development for LLM Models - Understanding of selected LLM technologies and the ability to create and maintain the supporting skills files and MCP servers required. Understanding of Linux - Good working knowledge of Linux, with Docker experience an advantage due to toolchain dependencies. Prompt Design and Context Engineering - Strong … skills in designing prompts and engineering the right context to optimise LLM outputs. Evaluation and Testing - Experience creating test cases and test harnesses for LLM solutions to enable repeatable outcomes where possible. Architectural Guidance - Capability to challenge designs, guide architecture decisions, and drive innovative solutions. Model Management, Outcome ...

documentation, and lifecycle management. Embed DevSecOps practices across CI/CD pipelines and runtime environments. Design and implement secure service to service integrations using MCP, A2A, and AP2 protocols. Contribute to backend integrations involving LLM enabled or AI driven systems, where applicable. Deploy, monitor, and support production services … controls. Strong understanding of cloud networking concepts (VPCs, subnets, routing, load balancing, private connectivity). Experience working in SCRUM/agile ways of working. MCP, A2A, and AP2 protocols, including their use in secure, distributed integrations LLM concepts and integration patterns, including API based interaction models and security considerations. Cloud ...

ownership - Node.js backend, Next.js/React frontend - Vercel for deployment, Neon/Postgres for data - 100% Anthropic AI, think Claude API, MCP servers, agentic workflows, the whole toolkit What I'm looking for: - You've shipped real production apps, not just side projects - You think in agents, tools, and prompts ...

including multi-account strategy, landing zone alignment, network patterns, and environment segregation (dev/test/prod). Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise … quality. Architect APIs and integration layers for GenAI agents (API Gateway/ALB, VPC integration, event-driven patterns), including connectivity to external systems and MCP-style tool servers where applicable. Establish security, privacy, and compliance-by-design: IAM least privilege, KMS encryption, secrets management, data classification, PII redaction, prompt/ ...

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 ...

structured release processes, with demonstrable experience in a team setting. Proven ability to carry out peer review and QA of analytics work, spotting model errors, DAX issues, performance problems and UX weaknesses. Excellent written and verbal communication skills, including presenting to underwriting and senior stakeholders, with a track record … Data Scientists and Actuarial colleagues. Hands-on experience applying AI and LLM tooling to analytics work (such as Copilot for Power BI/Fabric, MCP-style integrations or agentic assistants). Experience with Microsoft Fabric, dbt, Azure DevOps/GitHub Actions and data-quality tooling. This is an excellent opportunity ...

develop AI‐related features such as: Intelligent search/retrieval experiences and RAG Summarisation and document comprehension at scale Context management AI agents, MCP servers, and best‐practice configuration of, for example, AGENTS.md Advanced use of tools such as Claude Code and Codex Assistants and copilots embedded into workflows ...

APIs) and bespoke data visualisation and presentation solutions. You will also contribute to our growing "question in insight out" initiative, exposing consortium data through MCP servers and agent-based interfaces so that researchers can ask scientific questions in natural language and get back analysis, not just download links. You will … orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/CD Curiosity or experience with LLM APIs, agent frameworks, MCP, or retrieval-augmented systems - we are actively building in this space and welcome enthusiasm here even without prior production experience Contract length: 2 years grant funded ...

company's risk framework. Integrations require technical depth and will form a significant part of the role. Develop a deep working understanding of how MCP servers, API connections, and OAuth permission scopes function in practice, and what each means for data exposure and system integrity. Work from minimal information provided … guidelines and training. Required Experience and Skills Technical Background: A solid technical foundation with a genuine understanding of AI technologies, including LLMs, agentic AI, MCP servers, APIs, OAuth permission scopes, and AI integrations. Ability to identify and articulate risks that requesters have not considered and to interrogate vendor security documentation ...