426 to 450 of 724 Model Context Protocol Jobs in the UK

management, forecasting and optimisation (including usage‐based pricing shifts), and the staff access model. This includes: AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting … built or significantly scaled a team. Current, hands‐on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering. AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data‐boundary reasoning; able ...

agent approaches, and define evaluation, safety, and monitoring strategies for production use Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning … evaluation and safety patterns Familiarity with agentic building blocks and standards, including orchestration frameworks, context and memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including ...

agent approaches, and define evaluation, safety, and monitoring strategies for production use Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning … evaluation and safety patterns Familiarity with agentic building blocks and standards, including orchestration frameworks, context and memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including ...

secure, observable, reusable and governed by default. You will also contribute to the production foundations needed to operate AI capabilities reliably, including LLMOps, model access patterns, prompt and agent lifecycle practices, observability and secure enterprise integration. What you’ll be doing Designing and building AI platform capabilities on Azure … evaluation practices for agent configurations, prompts and AI workflows, including testing, controlled change and release readiness Designing secure tool-access patterns for agents, including MCP/tool abstraction, credential management and enterprise API integration. Contributing to AgentOps and GenAIOps capabilities, including telemetry, run history, task outcomes, error analysis and feedback ...

management, forecasting and optimisation (including usage-based pricing shifts), and the staff access model. This includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting … built or significantly scaled a team. Current, hands-on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering. AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data-boundary reasoning; able ...

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context‐window management and production guardrails; MCP, tool‐augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

Engineering, Computer Science or equivalent; advanced degree preferred.Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale.Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices.Cloud ...

Engineering, Computer Science or equivalent; advanced degree preferred.* **Agentic AI/LLMs:** LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale.* **Enterprise integration:** Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients … modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human-in-the-loop patterns - learning what it takes to make agents enterprise-safe and production-ready.Contribute ...

SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients … modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human-in-the-loop patterns - learning what it takes to make agents enterprise-safe and production-ready.Contribute ...

SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients … modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human-in-the-loop patterns - learning what it takes to make agents enterprise-safe and production-ready.Contribute ...

SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients … modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human-in-the-loop patterns - learning what it takes to make agents enterprise-safe and production-ready.Contribute ...

SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration, and enterprise context engineering - embedding intelligent agents directly into clients … modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human-in-the-loop patterns - learning what it takes to make agents enterprise-safe and production-ready.Contribute ...

Solutions Architect to design end-to-end AI/LLM solutions for enterprise customers, leveraging Tencent Cloud TokenHub, foundation models, AI Agents, and MCP ecosystem. You will lead technical discovery workshops, architecture design sessions, POCs, validation, and production deployment planning, collaborating with customer engineering teams to deliver scalable, reliable ...

Senior Software Engineer to own the application and integration layer for a new generation of AI-powered products. The role spans backend, API design, MCP integration and frontend development with React and TypeScript. You will design scalable REST/GraphQL APIs, implement agent-to-agent connectivity, and build production-grade ...

Solution Architect to accelerate enterprise AI adoption in Europe. You will design end-to-end AI and LLM solutions leveraging TokenHub and MCP ecosystem, working with enterprise customers and cross-functional teams. Required are 2+ years in Gen AI/LLMs, strong cloud and MLOps experience, and excellent English. Mandarin ...

deliver robust, high-performance solutions. You will design, develop, test and deploy across the full software life cycle, embracing Terraform-based infrastructure and MCP/A2A enabled LLM integrations to create scalable platforms. #J-18808-Ljbffr ...

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. ...

Claude (Anthropic) or Copilot Highly desirable (not essential): Python for AI tooling and evaluation scripts Semantic Kernel or LangChain frameworks Linux/Docker MCP experience If you feel this role meets some of the above skillset and open to learning more about AI tools whilst in post, my client offers ...

Will Be Doing Building real product features across Rebel end-to-end, with support and guidance from senior engineers Working with LLMs, agents, and MCP integrations from day one Learning by shipping: we believe the fastest way to grow is to have real ownership Contributing to our open-source ecosystem ...

including the component library, design tokens and documentation Extend the design system for AI-assisted development using Storybook and machine-readable interfaces such as MCP Design component APIs that resist misuse by AI and human developers Write high-quality, performant frontend code with React and TypeScript Partner with design, product ...

visibility intelligence to win every moment of discovery — across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands ...

governing how AI agents are authorized, orchestrated, and monitored while reliably executing the work they trigger across every connected system. A visionary in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration ...

augment your end-to-end design and development process.Expertise with modern AI technologies and ability to apply them to design problems (e.g., MCP, Claude Code, Codex, Skills).Experience shipping production-ready experiences and influencing technical and design choices across teams.Strong understanding of user-centered design principles, end-to-end customer ...