626 to 650 of 724 Model Context Protocol Jobs in the UK

building agents and naturally curious; what matters most is capability in adjacent disciplines such as AI agent orchestration, LLM governance and guardrails, and MCP and A2A, plus the aptitude to build Agent Fabric expertise on the job. MuleSoft's integration and API backbone gives agents the trusted context … bring demonstrated hands-on depth in a related discipline — Agentic technical capabilities such as AI agent orchestration, LLM governance/guardrails or MCP and A2A — with the technical aptitude to ramp quickly into MuleSoft's Agent Fabric. We're hiring for transferable technical depth and fast ramp-up. Customer-First ...

building agents and naturally curious; what matters most is capability in adjacent disciplines such as AI agent orchestration, LLM governance and guardrails, and MCP and A2A, plus the aptitude to build Agent Fabric expertise on the job. MuleSoft's integration and API backbone gives agents the trusted context … bring demonstrated hands-on depth in a related discipline — Agentic technical capabilities such as AI agent orchestration, LLM governance/guardrails or MCP and A2A — with the technical aptitude to ramp quickly into MuleSoft's Agent Fabric. We're hiring for transferable technical depth and fast ramp-up.* Customer-First ...

traffic environments Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows Drive experimentation frameworks, including …/B testing and offline evaluation, to continuously improve model performance and product outcomes Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels Mentor and elevate senior individual contributors, fostering a culture ...

Delivery & Execution:Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standardsCoordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual supportEstablish governance checkpoints appropriate for high-stakes government deploymentsProblem-solve complex technical challenges in air-gapped … Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiatorComfortable discussing API integrations, model inference, data pipelines, and ML operations with technical ...

Delivery & Execution: Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standardsCoordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual supportEstablish governance checkpoints appropriate for high-stakes government deploymentsProblem-solve complex technical challenges in air-gapped … Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiatorComfortable discussing API integrations, model inference, data pipelines, and ML operations with technical ...

permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec … proxy infrastructure that is reliable by default.What you'll doYou'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend ...

permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec … that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend ...

powered agents, enrichment pipelines, and AI-assisted automations that the commercial org depends on. You will make engineering decisions about models, infrastructure, and MCP integrations. You will design prompting systems that non-technical users rely on without ever touching a prompt themselves. The test for everything you build is whether … assisted automation — not just prototypesActive practitioner of modern AI development tooling (Claude, Lovable, Cursor, or equivalent) and comfortable working with LLM APIs and MCP integrations — AI Fluency Level 4 or the equivalent hands-on engineering experienceHands-on experience building against Salesforce or equivalent CRM APIs: workflows, event-driven logic ...

work with data effectively — ingestion infrastructure, a reliable lakehouse, the tooling that data engineers build on top of, and increasingly, AI-powered interfaces (MCP connectors, workflow skills, and integrations) that bring data directly into how people and AI agents get work done across DeepL. Our customers aren't just data … scaleEnable AI-powered data workflows: build the connectors, interfaces, and integrations that bring data into the hands of humans and AI agents alike, including MCP connectors and workflow skills that let the rest of DeepL access and work with data in AI-assisted workflows. Design for the full range ...

under your responsibilities (actual examples of recently completed or currently on the roadmap): Secure the design and development of our AI features, including the MCP Server and Modeler Agent: threat modelling, design reviews, working alongside the engineers building them, and security assessments. Work out where AI‐assisted analysis actually belongs … retiring personal accounts and long‐lived PATs, and moving CI to short‐lived OIDC credentials instead of stored keys. Design agent identity for the MCP Server - delegated access tokens, token exchange, and making sure an agent acting for a user can never exceed what that user could do themselves. Push ...

under your responsibilities (actual examples of recently completed or currently on the roadmap):Secure the design and development of our AI features, including the MCP Server and Modeler Agent: threat modelling, design reviews, working alongside the engineers building them, and security assessments. Work out where AI-assisted analysis actually belongs … Okta, retiring personal accounts and long-lived PATs, and moving CI to short-lived OIDC credentials instead of stored keys.Design agent identity for the MCP Server - delegated access tokens, token exchange, and making sure an agent acting for a user can never exceed what that user could do themselves.Push least ...

facing engineering role – forward deployed engineering, technical consulting, or engineering advisory Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development External presence – writing, speaking, or community contribution in the software engineering or engineering leadership space Experience working alongside or within partner ecosystems such … Anthropic, Databricks, or AWS at a senior level Experience in a Palantir, Anthropic, DeepMind, or similar forward‐deployed engineering model #J-18808-Ljbffr ...

solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.What You'll DoThe GenAI Product … experience as a product manager or in a comparable product roleHands-on experience building with Anthropic and/or OpenAI — skills, plugins, agents, or MCP integrations — in a professional or personal contextA consulting background, or comparable experience delivering to a senior professional audience, with the judgment to calibrate what "client ...

Forward Deployed Engineer, Manager -London Hands-on with AI agents and AI-powered workflows (MCP, Agent APIs, LLMs/RAG) — building and deploying AI integrations for customers. About the Role Lead a team of Forward Deployed Engineers to design, build, and deliver complex, production-ready Notion integrations, agents, automations … scaling Forward Deployed Engineering or professional services functions in startups or high-growth companies. Experience deploying AI agents and designing AI-powered workflows (MCP, Agent APIs, LLM applications, prompt engineering, retrieval/RAG, workflow orchestration). Experience with ETL/ELT workflows, schema mapping, validation scripts, and large-scale migration ...

takes Nice to Have Former technical founder or CTO – you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level … External presence – writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model #J-18808-Ljbffr ...

fleet managers, autonomy stacks, data models, and their real limitations. You will also be the engineering counterpart to our robotics ecosystem: OEMs, robotics foundation model companies, startup networks, and standards bodies. When an OEM partner puts their platform engineers in a room, you are the person on our side … where these standards genuinely work and where they fall short Agent-first integration: designing AI agents that plan, dispatch, and supervise robot missions; MCP servers and tool interfaces over robot APIs; orchestration frameworks such as LangGraph, Pydantic AI, or provider-native SDKs; permissioning, human-in-the-loop escalation, and audit ...

Securing AI narrative: Own the technical story for Snyk Evo, translating AI-native development risk (vulnerable AI-generated code, unsafe agentic workflows, unvetted MCP servers and LLM integrations) into a case that resonates with both engineering and security leadership.Architect Technical Strategy: Partner with Account Directors to co-lead the sales … into compelling financial justifications for C-suite decision-makers.Run Hands-On Technical Evaluations: Scope and lead proofs of concept and pilots covering agentic AI, MCP servers, LLM-assisted coding, and traditional AppSec surfaces, demonstrating Snyk and Evo working across a customer's real development and AI environment.Drive Strategic Engagement: Present ...

example C++, C#, or Java) who are ready to work across our stack as it evolves. Solid understanding of Kubernetes internals: the control loop model, CRDs, controllers and operators, and reliable reconciliation logic. Comfortable working close to the infrastructure layer: Linux, networking fundamentals, and distributed systems behavior. Experience designing … helps us match you to the right one: Fluency with AI‐assisted development: agentic CLI tools, IDE assistants, and orchestrating multiple coding agents through MCP, skills, or APIs to amplify delivery. Depth in Go or Rust beyond working proficiency. Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel ...

dual-focus senior backend role, split roughly 50/50 between AI and core platform engineering. Half the job is AI on GCP, building MCP/agent tooling in Python, shipping LLM-backed features into our portals, and driving AI-assisted dev practices across the team. The other half … builds, tests, reviews REST services independently• Practical fluency with AI dev tools (Claude Code, Codex, etc.), has automated real work with themNice to have: MCP/tool-calling experience, RAG in production, legacy Java migration experience, HCP/adtech domain exposure. Location & Hours:Can work remotely in your current country ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape … patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. Software Engineering & API Design: Strong development background (ideally Java/JavaScript) coupled with robust API design, documentation ...

data and platform narrative and helping connect technical capabilities to customer value. An understanding of (or strong curiosity about) agentic AI architectures and MCP frameworks is a significant plus.Strategic Partner Product LaunchesOwn product marketing strategy and go-to-market execution for partner co-developed product launches. This means informing … Snowflake Google Cloud Platform, AWS and other technology partners to jointly build and launch products, features and go-to-market sales motions. API/MCP fluent: you understand how agentic architectures work and how technical platforms deliver value for customers and partners. You're genuinely excited about the shift toward ...

OpenTalent in London, United Kingdom is seeking a highly capable software engineer with strong foundations in clean code, testing, CI/CD and a production mindset. The role requires proficiency in Python or TypeScript, full ...

J.P. Morgan is seeking an Applied AI ML Lead for the LLM Suite Engineering to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems. You will own technical ...

control plane: Define, build, and operate the core platform that enables safe and scalable AI usage across the company. Scope includes: Centrally run MCP server infrastructure Model access and routing Policy implementation & runtime controls Enabling safe and observable agentic workflows Engineering experience and enablement: Developer AI portal and service … with high reliability and clear SLAs Own vendor relationships and platform budget Required Skills And Experience Hands-on knowledge of AI technologies (for example MCP servers, skills, model orchestration, retrieval-augmented generation, vector databases, agentic enablement). Experience building and leading platform, infrastructure or developer tooling teams. Experience delivering ...

across Moody's business services, making capabilities consumable by AI agents. You will define how capabilities are exposed and packaged for agent consumption, evaluate MCP and MCP App options, and build prototypes for client validation. You will collaborate with Legal, Compliance, and Risk to ensure regulatory alignment, and drive data ...