451 to 475 of 724 Model Context Protocol Jobs in the UK

match you to the right one: Fluency with AI-assisted development, and interest in scaling agent-assisted workflows across the team (agentic CLI tools, MCP, skills, APIs) to amplify delivery. Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel TDX, or Confidential Containers (CoCo). Experience building SaaS or PaaS ...

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 ...

applications inside client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability. Develop technical assets - Create reusable, production‐ready artefacts including MCP servers, sub‐agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows. Support enterprise deployments - Play a key technical role in rollouts … Identify patterns and scale - Recognise repeatable deployment patterns across engagements and contribute those insights back to Accenture's I&E FDE practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting‐edge expertise - Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies ...

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 ...

trading teamsBuild reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflowsCreate and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditabilityJob RequirementsMandatory Foundations5+ years production experience with both Python and Java in high-performance environmentsStrong software engineering fundamentals: system design … tools etc.Kafka, Flink, and event processing in production environmentsAI Platform CapabilitiesRetrieval system evaluation methodologies and quality frameworksRAG pipeline architecture and optimization techniquesLLMOps practices including model lifecycle and prompt managementExperience with AI agent frameworks in production settings like A2A and MCPPreferred QualificationsFinancial/Trading DomainExperience in trading systems, quantitative finance ...

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 ...

reusable AI services. Establish scalable, secure, and compliant architecture patterns for Agentic solutions using industry standard frameworks. Provide hands-on technical leadership across MCP, Python, TypeScript, React, APIs, OpenShift, Kubernetes, and CI/CD engineering practices. Build AI solutions including Agents, chatbots, RAG & Knowledge platforms, Skill based agents, workflow automation … enabled developer experiences Define engineering standards for prompt engineering, skill engineering, model evaluation, observability, guardrails, red teaming, hallucination detection, and responsible AI adoption. Partner with engineering leads, product owners, cybersecurity, governance, risk, platform, and UI/UX teams to align technical direction with strategic business outcomes. Mentor senior engineers ...

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. ...

Associate Machine Learning Quality Engineer to join the Corporate Engineering AI team. You will help define evaluation frameworks and build automated test pipelines for MCP tools and Skills. You will collaborate with ML engineers to integrate evaluation hooks, address agentic risks, and provide testing evidence for PTB and PTO, ensuring ...

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 ...

growth team at the forefront of AI transformation. You’ll build real product features across Rebel end-to-end, work with LLMs, agents, and MCP integrations, and grow through hands-on ownership from day one. We welcome diverse backgrounds and value curiosity, self-direction, and practical AI experience, with ...

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 ...

cannot. You'll be early enough to shape how we sell. This role is based in London. We mainly use an in-person work model, with a flexible work-from-home policy. Take ownership of a named account list , guiding clients through the full sales cycle—from prospecting ...

senior engineer who is as comfortable in a stakeholder conversation about a business process as they are building and shipping the data pipeline or model-serving system behind it.What you'll doEmbed directly with product teams (your internal customers) to understand their business flows and work out where … including model APIs, authentication, gateways, reliability, latency, cost, and observability.Agentic Systems: Experience building agentic applications using tools, APIs, and orchestration frameworks. Hands-on MCP experience is strongly preferred.Retrieval & RAG: Hands-on experience designing production RAG and retrieval systems, including embeddings, vector databases, indexing, retrieval quality, and evaluation.APIs & Enterprise Integration ...

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 ...

Next.js Experience managing at least one cloud platform, such as Azure, AWS or GCP Experience working with AI development frameworks such as LangChain, foundation model platforms, vector databases, structured outputs, tracing and evaluation techniques Experience applying modern engineering practices, including testing, CI/CD, DevOps, observability, secure development, code … behaviour of AI‐enabled systems Strong communication skills to articulate complex technical solutions Ideally, you’ll also have Experience building complex systems, including writing MCP servers Experience with spec‐driven development and configuring coding‐agents Experience designing human‐in‐the‐loop workflows, including review, escalation and feedback mechanisms ...

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 Competencies3+ … managerHands-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 ...

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 ...

full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings … field learning.Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.Own Deployment Kit quality for your ...

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 ...

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 … position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. 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. #J-18808-Ljbffr ...

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 ...

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 … willingness to 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 production ...