126 to 150 of 726 Model Context Protocol Jobs in the UK

software development, low-code technologies, AI agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data as needed to the firm’s internal AI agents. Design, develop, and deploy custom software applications that ...

production, including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol (MCP) services.What you’ll doSoftware engineeringDesign and develop sophisticated backend services, platforms and RESTful APIs that support critical trading and middle-office workflows.Build scalable, resilient and cloud … discovery-to-deployment journey for Data and AI applications, moving solutions from prototypes into production.Develop production-grade agentic workflows, including multi-agent architectures and MCP-based services.Build high-performance evaluation pipelines and observability frameworks to assess the accuracy, safety, reliability and latency of AI-powered applications.Find opportunities where AI, automation ...

production**, including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol (MCP) services.# **What you’ll do**Software engineering* Design and develop sophisticated backend services, platforms and RESTful APIs that support critical trading and middle-office workflows.* Build … deployment** journey for Data and AI applications, moving solutions from prototypes into production.* Develop production-grade agentic workflows, including multi-agent architectures and MCP-based services.* Build high-performance evaluation pipelines and observability frameworks to assess the accuracy, safety, reliability and latency of AI-powered applications.* Find opportunities where ...

differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities — including LLM-powered features, AI agent frameworks, and MCP servers — to accelerate both internal tooling and customer touchpoints. You'll join an existing Senior Solutions Architect and share technical ownership of theplatform, dividing focus … platform architecture, and presenting technicalrecommendations to the team. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automaterepetitive commercial processes. You'll investigate and resolve production bugs,optimize web portal ...

willing to change course when something isn't landing. Partner with Staff Engineers and other pods where the Agents surface touches LLM control, MCP, or the core API gateway – and vice versa. Your impact will be visible, measurable, and felt by every enterprise trusting agents with real access to their … single product surface. Experience with cost or usage governance for AI and LLM systems. Familiarity with the Model Context Protocol (MCP) or similar orchestration standards. Experience working in a fast-moving, ambiguous product environment. Experience with containerized deployment and CI/CD pipelines (Docker, Helm, Kubernetes) Familiarity ...

Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement.Who You Are:Humble, Hungry, Smart.What You'll Be Doing:Architect and deliver high … impact features for our main public facing insurance marketplace and internal toolsets.Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence.Coach and mentor junior engineers within the team and organisation.Champion our Agent First philosophy by driving agentic enablement across our development lifecycle.Utilize analytics ...

products with clear human oversight, measurable outcomes and safe rollback. Principal Accountabilities Design, build and operate the enterprise agentic platform, including orchestration, runtime services, model routing, memory, identity and policy enforcement. Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently. … controls. Integrate agents securely with enterprise platforms, cloud services, APIs and knowledge sources using modern integration standards and Model Context Protocol (MCP). Build production-grade agent services using Python, cloud-native architectures, event-driven design, automation and Infrastructure as Code. Implement robust evaluation, observability and continuous ...

Claude to boost developer productivity. Our team is committed to cutting edge innovation, leveraging Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and advanced analytics data aggregation to drive system feedback and continuous improvement. Who You Are Humble, Hungry, Smart. What You'll Be Doing Architect … impact features for our main public facing insurance marketplace and internal toolsets. Drive innovation in UX and implement advanced AI patterns including RAG and MCP to enhance platform intelligence. Coach and mentor junior engineers within the team and organisation. Champion our Agent First philosophy by driving agentic enablement across ...

agent delegation, and session/state management. Experience authoring custom skills or slash commands for Claude Code to codify team‐specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources. Working knowledge of RAG patterns and vector store integration (e.g. ...

/multi-agent delegation, and session/state management.Experience authoring custom skills or slash commands for Claude Code to codify team-specific workflows.Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources.Working knowledge of RAG patterns and vector store integration (e.g. Qdrant ...

agent delegation, and session/state management. Experience authoring custom skills or slash commands for Claude Code to codify team-specific workflows. Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources. Working knowledge of RAG patterns and vector store integration (e.g. ...

outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams … signal back into product and architecture decisions. Bonus Points Background in email security, threat detection, DLP, identity, or data platforms. Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture. Experience with eval design for AI features, product discovery practices, or data contract/data ...

foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.You'll work … that grounds Agentforce solutions in accurate, real-time enterprise data.Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.Connect the ecosystem. Implement robust, scalable, and secure data integration ...

usage across all engineering teams. System Orchestration: Integrate AI solutions seamlessly with CI/CD pipelines and Model Context Protocol (MCP) servers to create automated, end-to-end development cycles. Strategic Collaboration: Partner with cross-functional engineering teams to embed AI-driven processes directly into core SDLC … large scale enterprise/industrial SDLC (large enterprises with complex process/tools). Given they need to apply their genAI skills in the context of a transformation from old to new...leading/guiding/designing how old style meets new style of engineering. Often we see inexperienced developers ...

testing into CI/CD pipelines using GitHub Actions, supporting continuous delivery practices.Leverage AI-powered development tools such as Claude Code, GitHub Copilot, and MCP integrations to accelerate test creation, defect investigation, and impact analysis while validating all AI-generated output.Collaborate closely with Software Engineers, Product Managers, DevOps, Operations … technical and business teams.Nice to Have:Experience within financial services or fintech, particularly testing financial systems, XML, JSON, FIX, SFTP, or Swift messaging.Familiarity with MCP (Model Context Protocol) integrations and AI agent workflows.Experience testing event-driven architectures, including Azure Service Bus and Azure Kubernetes Service (AKS).Knowledge ...

with AI concepts, such as Retrieval‐Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model Context Protocol (MCP). Hands‐on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching ...

senior stakeholders. Highly Desirable Experience in a regulated industry: igaming, fintech, or financial services. Hands‐on n8n experience for production workflow automation. Familiarity with MCP (Model Context Protocol) or similar frameworks. Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation. Working knowledge of vector databases, embedding ...

taking Data and AI solutions from early experimentation through to production, including agentic applications, multi-agent systems and Model Context Protocol (MCP) services. What you'll do Software engineering Build backend services, platforms and APIs that support trading and middle-office workflows. Develop cloud-native applications using … shape the technology roadmap. Data & AI Lead Data and AI solutions from discovery through deployment. Build agentic applications, including multi-agent workflows and MCP services. Develop evaluation and monitoring capabilities to measure accuracy, reliability, safety and performance. Identify opportunities to apply AI and automation to real business challenges. ...

Solutions will frequently make heavy use of AI: prototyping with AI coding tools, and building solutions that themselves incorporate AI agents, LLMs, models, and MCP services. The Creative Technologist is expected to stay at the leading edge of these tools and techniques, and to bring a strong point of view … rapidly build demonstrable prototypes. Large Language Models (LLMs) and hosted/served models as building blocks within solutions. AI agents and agentic workflows. MCP (Model Context Protocol) services to expose data and capabilities to AI systems. Prompt design and an understanding of how to get reliable, high ...

They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit.Build the Architectural Context Engineering Teams Operate InsideADRs, service interaction patterns, NFR targets, and data contracts are not documentation — they are the substrate that lets engineering teams … brings that signal back into product and architecture decisionsBonus PointsBackground in email security, threat detection, DLP, identity, or data platformsFamiliarity with agentic AI, MCP (Model Context Protocol), or LLM application architectureExperience with eval design for AI features, product discovery practices, or data contract/data mesh approachesExposure ...

They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit.Build the Architectural Context Engineering Teams Operate InsideADRs, service interaction patterns, NFR targets, and data contracts are not documentation — they are the substrate that lets engineering teams … brings that signal back into product and architecture decisionsBonus PointsBackground in email security, threat detection, DLP, identity, or data platformsFamiliarity with agentic AI, MCP (Model Context Protocol), or LLM application architectureExperience with eval design for AI features, product discovery practices, or data contract/data mesh approachesExposure ...

APIs | Authentication, Authorisation, Firewalls & API Gateway Frontend Experience (For Frontend Developers) React or Other Modern Web Frameworks | TypeScript | UX Implementation | API Integration Desirable Skills MCP (Model Context Protocol) | IBM watsonx Orchestrate | CI/CD Pipelines What We’re Looking For Experience developing AI-enabled applications using modern ...

Proficiency in Microsoft Copilot Studio and Microsoft 365 integrations. Practical experience integrating Salesforce platforms and APIs. Familiarity with Model Context Protocol (MCP) and agent tooling. Knowledge of retrieval-augmented generation, vector databases and orchestration patterns. Understanding of secure enterprise AI development, access control and auditability. Proficiency with ...

ambiguity and wants outsized ownership. What You’ll Do Design, build, and deploy LLM-powered features and agentic workflows into production Work with MCP (Model Context Protocol) and related tooling to connect AI systems to internal and external data sources Build and maintain scalable AI/… startup environment — from prototype to production What You’ll Bring Strong Python skills, with hands-on experience building LLM-based applications Practical experience with MCP or comparable agent/tool-orchestration frameworks Solid cloud experience (AWS and/or Azure) — deployment, infrastructure, and scaling AI workloads Startup experience, ideally ...

this role. Working with ML flow. Designing developing and testing agent build in Google ADK Working with Model Context Protocol (MCP) and creating servers. Other technology we use includes Neo4j, Postgres, Kafka and libraries such as FAST API. Build and maintain CI/CD pipelines to support … What we’ll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole ...