76 to 100 of 266 Model Context Protocol Jobs in London

Sound judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously. Preferred experience Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one. Experience in a scale-up, SaaS, or other ...

matrixed organizations. Experience driving the full product lifecycle, writing product documents, and leading technology teams from idea to execution and launch. Familiarity with AI model architectures, including Large Language Models, and methods such as prompting, context engineering, fine-tuning, retrieval augmented generation, model context protocols ...

work with or learn Go Hands-on experience building and operating production AI applications using large language models and agentic frameworks Understanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt design Experience creating reliable AI agents through evaluation, guardrails and token and cost optimisation Proficiency with ...

production issues are a normal, expected part of the job, not an interruption to it. Design internal tools such as CLIs, APIs, and MCP servers that make your team and others faster, and that let both humans and AI agents work with our data safely and effectively. Work directly with ...

ongoing transition from monolithic to distributed architecture. Help design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Make sound technical decisions for the components you own, balancing immediate needs with long-term goals. Hands-On Development Write production-quality Python code ...

security architectures Strong understanding of distributed systems,service-to-service communication, API Gateways, Kubernetes, cloud-native architecturesHands-on experience working with emerging agentic protocols (MCP, A2A) and interoperability patternsProven ability to work cross-functionally with engineering, security, product, and platform organizationsExcellent communication and storytelling skills, with the ability to articulate ...

APIs using clean and maintainable architecture patterns. Design and optimise PostgreSQL databases, queries and migrations. Integrate AI capabilities into applications using agent frameworks and MCP concepts. Write high-quality code and carry out peer code reviews. Create and maintain unit and integration tests. Manage code using Git and CI/ ...

core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.) Agentic frameworks Core agent capabilities like MCP/cross-platform tool use, web browsing, computer use Enforce technical discipline and operational excellence for all of our AI products Rapidly iterate ...

architectures Strong understanding of distributed systems, service‐to‐service communication, API Gateways, Kubernetes, cloud‐native architectures Hands‐on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross‐functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability ...

accelerate analysis. Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools. Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails, and output formats. … Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc. Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows. Excellent written and verbal communication skills ...

solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost Experience deploying AI solutions into production with focus on cost … evaluating multi‐agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness Confidence contributing to pre‐sales while also being able ...

communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom … enterprise-grade AI products and services.* Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities.* Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms.* Develop reusable AI frameworks, accelerators and engineering standards.Engineering Excellence* Lead technical implementation across multiple AI initiatives.* Define solution architecture ...

working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP) Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.) Solid understanding of internal control concepts with the ability to evaluate and determine the adequacy ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity #J-18808-Ljbffr ...

collaborate credibly with Data Scientists and Actuarialcolleagues. Hands-onexperience applying AI and LLM tooling to analytics work (such as Copilotfor Power BI/Fabric, MCP-style integrations or agentic assistants). Experiencewith Microsoft Fabric, dbt, Azure DevOps/GitHub Actions and data-qualitytooling. This is an excellent opportunity to join ...

problems. Responsibilities Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company’s AI products and customer’s live ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

with Java 21Familiarity with Spring framework and Spring BootKnowledge of RDBMS and NoSQL databasesExperience with KafkaExpertise in microservices architectureAbility to leverage AI tools like MCP servers and Claude to enhance productivityJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent ...

Drive the ongoing transition from monolithic to distributed architecture. Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations. Own technical decisions balancing immediate business needs with long‐term architectural goals. Hands‐On Development Write production‐quality Python code for critical platform ...

communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United … enterprise-grade AI products and services. Build agentic AI workflows, retrieval-augmented generation (RAG) solutions and intelligent automation capabilities. Deliver scalable integrations with LLMs, MCP services, vector databases and enterprise platforms. Develop reusable AI frameworks, accelerators and engineering standards. Engineering ExcellenceLead technical implementation across multiple AI initiatives. Define solution architecture ...

native services (e.g., serverless, containerization, managed AI/ML platforms) and CI/CD pipelines for accelerated delivery. Implement robust MLOps practices to streamline model deployment, monitoring, and lifecycle management in cloud environments, including data versioning, feature store integration, and data pipeline management. Business Partnership & Solution Architecture: Collaborate closely … systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocolIntegrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full ...

working with either threat modeling, risk assessing or auditing cloud technologies (AWS, Google and Azure), Generative AI/agentic systems and tool integrations (A2A, MCP) Recognized cloud security certification (CCSP, CCSK, AWS certifications etc.) Solid understanding of internal control concepts with the ability to evaluate and determine the adequacy ...

looking for someone excited to help define how European enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? How do you deploy frontier models in line with GDPR, EU data residency, and the EU AI Act? If working ...

interface between business outcomes and technical execution to mature how STOXX delivers index data to clients globally, including Web portals, APIs, bulk delivery mechanisms, MCP (AI enabling pipelines), and third-party data marketplace integrations. This role owns the product vision, roadmap, and delivery outcomes for index data distribution ...

Chat, Cowork and Claude Code, sufficient to design and facilitate training and workshops on each. This means practical fluency with projects, skills and connectors (MCP), and judgement about which surface suits which kind of work.Enough understanding of how Claude is deployed and administered in an enterprise to design enablement that ...