376 to 400 of 724 Model Context Protocol Jobs in the UK

tasks (containers, cloud configuration) — at Encore, engineers regularly jump between the two Experience working with AI-assisted coding tools, such as Claude Code Skills, MCP servers and Routines. A product and commercial mindset: the ability to weigh technical work against business impact, prioritise ruthlessly, and know what ...

improve it, and build something with AI that actually works. Skills Hands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrieval Strong systems thinking and engineering judgment Process design instinct. You can spot waste, redundancy, and bad handoffs and propose something better Comfortable in code-adjacent ...

upscale? Willing to travel to customer sites one to two times per month. Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale-up experience. Additional European languages are a plus. ...

direction on internal tooling as its complexity grows. Get hands-on with cutting-edge tools like Claude Code, Cowork, Cursor, and custom MCP integrations, with the freedom to explore new AI tooling that drives product innovation — setting the standard for AI tooling across the team. As these tools evolve ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Tools experience:Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato ...

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 ...

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 ...

design, retrieval-augmented generation (RAG) architectures, and at least one agentic AI framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI) Experience designing and building data and context pipelines … systems — including embedding pipelines, vector databases, and semantic search applied to structured commerce data Familiarity with emerging agentic commerce protocols — such as MCP, A2A, or ACP — and how they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms ...

secure, scalable, and observable APIs and microservices for AI/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor model and data drift and performance; Establish guardrails for safe AI usage, including prompt security, evaluation frameworks, and privacy compliance; Contribute reusable components, documentation … real-time ML systems in production; Familiarity with RAG architectures, prompt engineering, guardrails, and evaluation techniques; Experience developing agentic capabilities, including agent skills, MCP servers, and tool usage; Strong understanding of security, privacy, and governance principles, including IAM, secrets, and PII handling; Effective communication skills and ability to work with ...

role with a Master's degree.Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field.Exposure to agentic or LLM-based systems, and curiosity about the eval, observability, and rollback story that … Computer Science or related field, or equivalent experience.Beneficial ExperienceInterest in AI-driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred.Why Proofpoint At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons ...

with a Master's degree. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Exposure to agentic or LLM‐based systems, and curiosity about the eval, observability, and rollback story … Science or related field, or equivalent experience. Beneficial Experience Interest in AI‐driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons ...

applications in a microservices cloud environment.Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field.Experience contributing to agentic or LLM-based systems in production, including familiarity with the eval, observability … Computer Science or related field, or equivalent experience.Beneficial ExperienceExperience with AI-driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred.Large scale event processing a plus, but not required.Why Proofpoint At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. ...

microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Prior experience taking agentic or LLM‐based systems to production — not just prototypes — including the eval, observability … Science or related field, or equivalent experience. Beneficial Experience Experience with AI‐driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Large scale event processing a plus but not required. Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation ...

microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Experience contributing to agentic or LLM-based systems in production, including familiarity with the eval, observability, and rollback … Science or related field, or equivalent experience. Beneficial Experience Experience with AI-driven development (e.g. Claude Code, Codex) and agentic communication protocols (e.g. A2A, MCP) preferred. Large scale event processing a plus, but not required. Why Proofpoint? Competitive compensation Comprehensive benefits Career success on your terms Flexible work environment Annual ...

real lifecycle work: intake triage, estimation, requirements, technical design, coding, testing, release, and operations. Engineer the scaffolding that makes agents dependable tool use via MCP, agent-to-agent handoffs (A2A), event-driven orchestration, and deep Jira and enterprise system integration. Build on Equinix's enterprise AI platform AI gateway, orchestration … when to demand human review, and the communication skills to explain that reasoning. Preferred Qualifications Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering experience ...

experience.Establish observability and feedback loops that make agent behavior understandable and continuously improvable.Develop the AI Application ArchitectureApply context-engineering techniques such as RAG, MCP and knowledge graphs.Design prompts, tools, memory, workflows and orchestration strategies for production agents.Select and use appropriate orchestration frameworks, such as Google ADK, LangGraph, LangChain, LlamaIndex … care most about strong engineering judgment and demonstrated end-to-end ownership.Agent orchestration: Google ADK, LangGraph, LangChain, LlamaIndex, or comparable frameworksContext engineering: RAG, MCP, knowledge graphs, tool use, memory, and retrieval systemsAI evaluation: offline and online evaluations, test datasets, regression testing, observability, and human reviewLanguage models: Gemini, OpenAI, Anthropic, Llama ...

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 ...

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 ...

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 ...

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 ...

systems of record and engagement. Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity, workflow and process automation platforms – including MCP and A2A and how these capabilities enable an enterprise Agent mesh. Understand the data, governance and change implications of embedding AI into mission-critical enterprise … Orchestration & control plane Architect the orchestration and control-plane layer that governs how AI capabilities are exposed, routed and managed across the enterprise. Design MCP, AI and LLM gateway layers for secure, observable and policy-controlled access to models and tools. Design agent and skills registries — including recommending suitable technologies ...

engineer to drive a dual-focus role split roughly 50/50 between AI work on GCP and core platform engineering. You will build MCP/agent tooling, ship LLM-backed features into our portals, and mentor AI-enabled dev practices across the team. The role requires strong production Python ...

Shipping features end-to-end across Rebel, used daily by real teams Making autonomous product and technical decisions Working directly with LLMs, agents, and MCP integrations Contributing to our open-screen ecosystem Helping shape engineering standards and culture as the team grows Mentoring and setting the bar for quality About ...

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 ...