351 to 375 of 726 Model Context Protocol Jobs in the UK

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 requirementEnterprise 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 integrationsCross-Team Leadership: You have a track record of leading projects across ...

frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data, and operational knowledge.* Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks.* Implement vector search, semantic retrieval, graph-enhanced retrieval, and hybrid search patterns.* Develop AI agents for fault diagnosis, root-cause analysis, KPI analysis … systems.* Strong Python programming skills.* Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.* Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.* Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, ChromaDB, or equivalent.* Experience with graph databases, knowledge graphs, or Graph APIs. ...

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-grade ...

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-grade ...

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). Architecture and delivery ...

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 ...

technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business challenges into practical technical solutions. Using tools such … turn them into structured, scalable solutions. Microsoft AI experience Experience across the Microsoft AI ecosystem would be particularly valuable, including: Foundry Agents Cognitive Services MCP AI evaluation, testing and observability Previous experience working within a Microsoft Partner, consultancy, MSP or professional services environment would also be highly advantageous. Why this ...

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 ...

Knowledge Layer for AI agents, including context management, indexing, retrieval, governance and distribution strategies. Evaluate and productionise approaches for context delivery, including MCP architectures, local retrieval models, indexed code repositories and distributed knowledge platforms. Establish governance processes for AI skills, prompts and reusable agent capabilities, including approval, versioning … operational datasets, ensuring appropriate governance, entitlements and data controls. Define evaluation frameworks to measure AI solution accuracy, latency, cost, reliability and operational effectiveness across model and platform changes. Collaborate closely with platform engineers, quant-developers, DevOps and operational support teams to embed AI into engineering workflows. The team ...

Knowledge Layer for AI agents, including context management, indexing, retrieval, governance and distribution strategies.•Evaluate and productionise approaches for context delivery, including MCP architectures, local retrieval models, indexed code repositories and distributed knowledge platforms.•Establish governance processes for AI skills, prompts and reusable agent capabilities, including approval, versioning … operational datasets, ensuring appropriate governance, entitlements and data controls.•Define evaluation frameworks to measure AI solution accuracy, latency, cost, reliability and operational effectiveness across model and platform changes.•Collaborate closely with platform engineers, quant-developers, DevOps and operational support teams to embed AI into engineering workflows.Your Career ComebackWe ...

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 ...

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 ...

powered features across the healthcare platform, building LLM, Generative AI, and Agentic AI solutions for production use. You will work on multi-agent workflows, MCP implementations, RAG, vector databases, and real-time AI pipelines, ensuring secure and scalable services. #J-18808-Ljbffr ...

partner with onshore and offshore teams to design and deliver innovative technology solutions for the front office and Credit Risk Business, using Python, FastAPI, MCP, LLM, and Java. The role focuses on building enterprise-scale, componentized applications and participating in an evolving tech stack. #J-18808-Ljbffr ...

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 #J-18808-Ljbffr ...

iterate on the UK-EU outbound motion (account targeting, messaging, sequencing, experimentation). Run live product demos independently and speak credibly about APIs, MCP, and integration architecture. Partner with pre-sales engineers on deeper technical validation and enterprise security conversations. Collaborate closely with Product Marketing to refine messaging for technical ...

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 ...

RabbitMQ, or git.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 and our use of job applicants ...

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 ...

quality of what is deliveredMentor engineers on craft, and develop their judgement about when and how to use AI toolingBuild and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platformBuild systems, tools and solutions in an AI-native wayRepresent engineering credibly with ...

quality of what is deliveredMentor engineers on craft, and develop their judgement about when and how to use AI toolingBuild and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platformBuild systems, tools and solutions in an AI-native wayRepresent engineering credibly with ...

quality of what is deliveredMentor engineers on craft, and develop their judgement about when and how to use AI toolingBuild and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platformBuild systems, tools and solutions in an AI-native wayRepresent engineering credibly with ...