176 to 200 of 242 Model Context Protocol Jobs in the UK excluding London

disciplines.About the teamThe Roku Entertainment Assistant team builds conversational AI experiences used across millions of Roku devices. The team works across fulfilment ranking, model delivery, offline and online evaluation, low-latency services, observability and product quality. Its published work includes shared model-serving and MLOps paths, automated evaluation … scale 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 ...

systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across the lifecycle … government or academia. Experience in regulated industries such as insurance, financial services, public sector or national‐scale infrastructure contexts. Familiarity with agentic systems design, MCP/A2A protocols, or inference‐time privacy controls. Familiarity innovating with agentic‐driven workflows and toolsets for both research and prototyping tasks, such as Claude ...

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 agentic frameworks — and can describe projects where you shipped real customer-facing work with these tools. You know how to drive … integrationExperience with test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab)Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelinesUnderstanding of authentication and authorization approaches including OpenID and SAMLExperience deploying cloud-native services on AWS with containerized infrastructure and KubernetesExperience with message ...

Senior AI Engineer (BioTech/Pharma) | Outside IR35 Contract £600 - 700pd | Hybrid, Oxford | 6 Months Harvey Nash are working with an exciting consultancy who are looking to bring on a highly experienced AI Engineer to ...

create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an “AI for AI’s sake” role: the goal is practical engineering impact, better component reuse … they improve quality, speed, consistency, or developer self-service.- Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints.- Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication. ...

help deliver real-world AI solutions for clients. You will own AI-driven projects from prototype to MVP, working on RAG, AI agents, and MCP within client environments and the company's internal AI platform. Join a growing AI-native engineering capability with hybrid working options, high autonomy, and opportunities ...

deploy LLM-powered features directly on connected hardware, from data pipelines to real-world deployment. You’ll collaborate with hardware/firmware teams, use MCP for integration, and own end-to-end AI projects in a fast-growing startup with high autonomy and impact. #J-18808-Ljbffr ...

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 ...

every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … 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 ...

cloud infrastructure experience. Experience with Terraform, containers, CI/CD and observability. Knowledge of caching strategies, latency management and inference cost optimisation. Familiarity with MCP or comparable service-registry and tool-discovery patterns. Strong testing, documentation and production engineering standards. Confidence working with platform engineers, architects and senior engineering stakeholders. … software engineering and cloud infrastructure. The opportunity to influence how AI capabilities are governed, scaled and adopted within a regulated environment. A collaborative delivery model working closely with experienced engineers and senior stakeholders. The hiring process will include an initial conversation covering rate, availability and notice period, followed ...

code and you steered it to production, or you've 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 a clear, repeatable workflow: how you prompt, how you scope tasks, how you drive … role Design, develop, and deploy scalable web applications and services, contributing to web technology and framework stack decisions, use case design, and data model designDrive architecture discussions, take ownership and responsibility over new projects, and deliver high-quality software within tight timelinesPartner with security and compliance teams to ensure ...

across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types … integrate with both is required; existing expertise is a bonus rather than a requirement. Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling. Experience in financial services or another regulated environment. Experience deploying models built by a data science team into customer-facing ...

explore how platforms such as PowerApps and CoPilot can be leveraged within our existing technology stack. We currently operate a hybrid working model, enabling us to benefit from both home and office working.The TeamOsborne Clarke's Solutions team plays a crucial role in helping clients explore exactly how they … Risk & Compliance teams. Beyond AI, the role will focus on exploring data integration opportunities using platforms such as Boomi, investigating the potential of Model Context Protocols (MCPs) and orchestration layers, and developing a broader awareness of how tools such as PowerApps and CoPilot can be leveraged into ...

automation engineer to design and implement Box and Zendesk AI-driven automations. The role focuses on building integrations with JIRA and HiBob, while enabling MCP-based and Claude Code-powered workflows to reduce manual handoffs and improve data handling. Applicants should be proficient in Python or TypeScript, with experience ...

features through LLMs and NLP.Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context-aware development assistance, copilot-delivered boilerplates, root-cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework … evaluating AI-native vendors at various maturity stages.Familiarity with current AI industry developments, including agentic AI systems, emerging agent-to-agent integration standards (e.g., MCP), AI-assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities, and evolving best practices for embedding AI into enterprise workflows.Experience working with ...

Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms Test, evaluate … Strong Python and SQL Hands-on experience with LLMs, RAG, AI Agents and Agentic AI Experience with LangChain and/or LangGraph Experience with MCP Knowledge of Embeddings and Vector Databases Experience deploying AI solutions in enterprise environments Cloud experience across Azure, AWS or GCP Understanding of LLM evaluation ...

trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform environments and network … Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. Red Hat Ansible certification. Google Cloud, AWS, or Azure ...

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 ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows … principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world. As a Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate … infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

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 … create and implement new user experiences Adapt proof-of-concept solutions into production-ready, scalable implementations Leverage AI, machine learning, and large language model technologies to develop innovative platform features Investigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations and trade ...

Engineer. The work spans the full stack of what engineering needs to do around a GenAI platform: solving problems natively, backend plumbing, API integrations, MCP server builds, and data connections.Working in our GenAI platform doesn't always mean writing code. Often it means applying engineering judgement to solve problems natively … help you develop along the way.Across both levels 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 is genuinely valued.AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude ...