10 of 10 Model Context Protocol Jobs in the City of London

measurable improvements: faster APIs, better performance, higher reliability AI Implementation & Automation (50%) Build AI-powered development infrastructure, including Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation … patterns, service decomposition, and legacy migration strategies AI/LLM Implementation (Critical Differentiator): hands-on experience building with Model Context Protocol (MCP) Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work Experience implementing AI in CI/CD pipelines (code review ...

Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cos t.Interfaces : Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client system s. What you'll doConceptualize fas t: embed with stakeholders, frame a business process … ve.Engineer the agent cor e: apply prompt engineering, context engineering, prompt caching, RAG/context-graph retrieval, memory, tool/function calling, MCP integration and multi-agent orchestrati on.Integrate to standard s: connect agents into client ecosystems through proven integration patterns, standards-based APIs and secure authenticati on.Make ...

embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware agent behaviors Optimize performance, cost, and latency ...

platforms, patterns, governance, and delivery support. It owns core AI platforms such as LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway, enabling product engineering groups to expose knowledge, data, and actions to AI agents in a consistent, governed, and repeatable way. Responsibilities Design and build … MCP servers and tools that expose enterprise systems and workflows to AI agents. Implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows. Contribute to the LSEG AI Assist agentic harness, including planning, tool‐calling, and orchestration logic. Build secure API wrappers where backend systems lack suitable authentication ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana, ZDX) for proactive monitoring and insights. Provide engineering and support for MCP (Model Context Protocol) and AI agent integrations. Ensure AI-driven compliance, security monitoring, cost optimization, and continuous network stability improvements. Collaborate with Cloud ...

/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory. What's on offer Up to £82,000 salary Annual performance bonus 28 days' holiday plus ...

focused on deep technical design and hands‐on engineering, building reusable platform services and enabling technologies across Azure (e.g. APIM, Azure AI Foundry, Databricks, MCP) that accelerate delivery of AI solutions such as Agents, RAG, and LLM‐powered applications. You will work closely with architecture, AI engineering, and product teams … design scalable, platform‐centric solutions. Deeply experienced in platform engineering across Azure, including APIs, API gateways (e.g. APIM), integrations, lakehouse architectures (e.g. Databricks), model serving, and cloud‐native services. A strong technical leader, producing clear, high‐quality designs and setting standards for engineering excellence and best practice. An effective ...

central pillar of the UKI SE Architecture, Data & AI Practice - a team whose mission is to Inspire. Architect. Prove. Enable. - and you will model what it means to be a trusted technical advisor helping customers realise tangible outcomes from their Salesforce investments.Why "Cross Cloud"?The modern customer journey spans … Global Enterprise Architecture teams to shape reference architectures, influence the product roadmap, and establish global best practices.Co-define and uphold the Technical Handoff Protocol ensuring pre-sales architectures are faithfully delivered post-sale, preventing architecture drift.Act as a senior technical contributor to the AI Centre — advising on customer experience ...