151 to 175 of 361 Model Context Protocol Jobs in England

Demonstrable AI engineering depth. You can show real systems where you made substantive decisions about agent harnesses, evals, hallucination containment, performance, agent sandboxing or MCP/tool design. Strong product engineering and technical judgment. You ship across interface, backend, data and deployment, reason from first principles and choose tools deliberately. ...

accelerate pipeline development, data analysis, and automation Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire to learn Amazon Q & Quick AI Features: Familiarity with surfacing data insights through AI-powered experiences and understanding how these tools ...

platform modernisation or reliability initiatives in scale‐up or regulated environments, Operator development, CRD automation, eBPF, Cilium, policy‐as‐code with OPA or Kyverno, MCP and A2A orchestration patterns, Agent Gateways and Registries, secure containers, sandboxing, confidential computing, Spark, Databricks, Data Mesh, Go, Python, TypeScript, open‐source or CNCF community ...

DAST adoption and quality, from tool tuning to severity calibration and developer-facing triage guidance Support product teams adopting AI, including LLMs, SLMs, and MCP, giving you visibility into work most security roles wouldn't touch What Makes You a Great Fit Hands-on product or application security experience, embedding ...

London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB ...

least one object oriented programming language (JavaScript/TypeScript, Python, Java, C#, etc)You have hands-on experience with GenAI, (e.g. Playwright with MCP). Experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude) is required, knowledge of LangChain or LangGraph, and cloud environments is a plus. You love ...

multi-tier software application development (Java, Python, JavaScript, C++, etc) Database technologies & ORM (Elastic, MySQL/MariaDB, SQL*Server, etc) Spec-driven software development & MCP use (Kiro, Claude, etc) Source-code control (Git & Git-based technologies e.g. GitOps) CI/CD platforms (GitLab, Jenkins) Configuration management & IaC frameworks (Terraform, Ansible ...

multi-tier software application development (Java, Python, JavaScript, C++, etc) Database technologies & ORM (Elastic, MySQL/MariaDB, SQL*Server, etc) Spec-driven software development & MCP use (Kiro, Claude, etc) Source-code control (Git & Git-based technologies e.g. GitOps) CI/CD platforms (GitLab, Jenkins) Configuration management & IaC frameworks (Terraform, Ansible ...

multi-tier software application development (Java, Python, JavaScript, C++, etc) Database technologies & ORM (Elastic, MySQL/MariaDB, SQL*Server, etc) Spec-driven software development & MCP use (Kiro, Claude, etc) Source-code control (Git & Git-based technologies e.g. GitOps) CI/CD platforms (GitLab, Jenkins) Configuration management & IaC frameworks (Terraform, Ansible ...

multi-tier software application development (Java, Python, JavaScript, C++, etc) Database technologies & ORM (Elastic, MySQL/MariaDB, SQL*Server, etc) Spec-driven software development & MCP use (Kiro, Claude, etc) Source-code control (Git & Git-based technologies e.g. GitOps) CI/CD platforms (GitLab, Jenkins) Configuration management & IaC frameworks (Terraform, Ansible ...

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 ...

write. You go beyond prompt-and-paste. You’ve built or configured something (agentic workflows, automated triage or review, evaluation harnesses, custom tooling, MCP integrations) that made a repeatable part of engineering measurably faster or more reliable. You know where AI output cannot be trusted. A generated test that asserts ...

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. Hands‐on experience with low‐code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce). Proficiency in scripting (JavaScript and/ ...

TypeScript) is a welcome plus, not a requirement. Enterprise Platform Fluency: You bring hands-on experience with the building blocks of modern enterprise APIs (MCP, CLIs, and OAuth) and know how to wield them to build secure, extensible integrations. Cross-Team Leadership: You have a track record of leading projects ...

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production ...

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Software Engineering: Production ...

layer connecting agentic systems to enterprise commerce stacks (OMS, PIM, DAM, CRM, payments, pricing, fulfilment) via API gateways, event buses, and emerging agentic protocols (MCP, A2A, ACP, UCP) Lead build vs. buy decisions across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies … Azure; CI/CD and cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content ...

design, development and deployment of AI-integrated applications using modern full-stack technologies. Build features powered by LLMs, agentic workflows, RAG patterns and MCP integrations. Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure … mentor others. Excellent communication and stakeholder management skills. Comfortable working autonomously and shaping ambiguity into structured delivery. Desirable Azure AI Engineer certification. Understanding of MCP, vector databases and AI evaluation/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers ...

users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

seeking a versatile Principal Software Engineer to lead GenAI-driven planning platforms across frontend and backend services. You will architect scalable AI agents, MCP integrations, and end-to-end GenAI features, bridging React/TypeScript frontends with Python/Java/Kotlin or Node.js backends for production systems. You will ...

creative diplomat in client engagements, building trust with skeptical Executive Creative Directors and lead 3D artists Drive adoption of modern pipeline paradigms, including MCP-driven agentic workflows, custom node-graph architectures, and automated render pipelines WHAT YOU'LL NEED 8+ years in Creative Technology, 3D Pipeline Engineering, or Visual ...

controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within ...

Working knowledge of SQL, HTML, CSS, and JavaScript. Using AI coding assistants to accelerate development while owning the outcome. Exposure to agentic frameworks or MCP server development. Knowledge of financial concepts, exchange trading, or physical energy trading. For more information about DRW's processing activities ...

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 ...

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 ...