1 to 25 of 193 Model Context Protocol Jobs in the UK

frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into … both frontend and backend development, combined with hands‐on experience building production‐ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect ...

Lead the full product lifecycle from ideation and proof of concept to launch and continuous optimisation. Partner with cross-functional teams to embed LLMs, MCP (Model Context Protocol), and autonomous AI agents into scalable enterprise products. Work closely with GTM and marketing teams to develop compelling positioning … LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable, context-aware intelligence. Expected Impact & Outcomes Launch of AI-powered ...

including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)—coupled with excellent communication skills to engage with clients and internal teams effectively. Primary Skill Set Generative AI Expertise : Good understanding of modern Generative … Development Kit (ADK). Experience building agentic workflows with memory, state management, and reliable multi‐step task execution. Model Context Protocol (MCP) & Interoperability : Practical understanding of MCP for standardized, secure connectivity between LLMs/agents and external tools, data sources, and systems. Ability to build and consume ...

Generative and Agentic AI, including LLMs, retrieval-augmented generation (RAG), machine learning, and interoperability standards such as the Model Context Protocol (MCP). The role involves shaping the Generative AI strategy, selecting suitable models and technologies, and collaborating with cross‐functional teams to deliver customer‐centric, enterprise … ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution at scale. Model Context Protocol (MCP) & Interoperability – architectural knowledge of MCP for secure connectivity between LLMs/agents and enterprise tools, data sources, and systems; ability to build and govern MCP ...

systems on Amazon Bedrock, including multi‐agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents. Build, integrate, and maintain MCP (Model Context Protocol) servers that expose capabilities to AI agents across client platforms. Architect and implement RAG pipelines using Amazon Bedrock Knowledge … environments, not limited to basic API calls. Agentic AI and multi‐agent systems – direct experience designing and deploying agent pipelines with real orchestration complexity. MCP (Model Context Protocol) – built or integrated MCP servers in a production or near‐production context. Strands Agents – familiarity with the framework ...

prompt management solutions. Configure and secure API gateways for internally developed AI services and third-party integrations, including Model Context Protocol (MCP) connectors. Provision and maintain sandbox and staging environments to support rapid AI development and experimentation. Work closely with Information Security and Compliance teams to ensure … solutions Serverless inference Containerised AI workloads Model versioning and evaluation pipelines Experience configuring and securing API gateways and AI integration services. Understanding of MCP (Model Context Protocol) and modern AI connector architectures. Strong Infrastructure-as-Code experience using Terraform. Experience working with CI/CD pipelines ...

ecosystem. Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges. Build and maintain Model Context Protocol (MCP) servers to enable seamless integration across AI platforms. Design scalable Retrieval-Augmented Generation (RAG) solutions, managing knowledge bases, vector stores and document ingestion pipelines. Integrate … production-grade AI applications using Amazon Bedrock. Strong background designing and implementing agentic AI and multi-agent systems. Hands-on experience building or integrating MCP (Model Context Protocol) servers. Experience developing RAG architectures, knowledge bases and vector search solutions. Strong Python development skills within AI and cloud ...

including scripting, coding and configuring AI systems and IT infrastructure, leveraging protocols and frameworks such as Model Context Protocol (MCP) and related agentic technologies.* Leads rigorous evaluation and testing of AI tools, platforms and vendors, providing technical and commercial recommendations to senior leadership and ensuring solutions meet … associated best practices, scripting (e.g. Python, JavaScript, or similar), IT infrastructure, and emerging agentic AI frameworks including Model Context Protocol (MCP), agentic AI technologies and best practices, and related orchestration technologies.* Deep expertise in leading, assessing, and deploying legal technology and AI solutions, including generative AI platforms ...

just report it, including the greenfield Organiser and Exhibitor Agentic products our founding Agentic team is building on Model Context Protocol (MCP). Your Role Own the architecture of Grip's platform-wide data and AI infrastructure — from how event data is captured and modelled … batch and streaming — with reliability and low latency at the core Own the data layer that underpins Grip's Agentic products, ensuring agents and MCP-based tools have access to clean, well-modelled, real-time data Define data contracts and standards that product squads (Engage, Manage) build against, working ...

will ideally have the following attributes: Experience building multi-agent workflows and autonomous AI systems Knowledge of the Model Context Protocol (MCP) and AI integration patterns Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search Experience working with OpenAI and other leading foundation … environments Developing multi-agent workflows to automate complex business processes Implementing AI orchestration using modern frameworks and the Model Context Protocol (MCP) Designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector databases Building scalable AI services and data processing pipelines using Python Developing real-time ...

workflows using approved AI platforms Develop API-driven integrations across AI, Microsoft, and enterprise systems Configure and manage Model Context Protocol (MCP) server implementations Collaborate with business leaders to identify and deliver automation opportunities Manage AI solution delivery from intake through deployment and support Ensure governance, security … workflows in production environments Background in legal technology, professional services, or another compliance-sensitive environment Working knowledge of Model Context Protocol (MCP) server configuration and deployment Familiarity with ethical walls, conflict management systems, and matter-based security models Experience integrating large language model APIs and deploying ...

governance, and delivery support. CE AI owns and operates core AI platforms including LSEG AI Assist, the Question Answering Service (QAS), and the Internal MCP Gateway. Rather than delivering individual business use cases end‐to‐end, the team enables product engineering groups across LSEG to expose knowledge, data, and actions … agents in a consistent, governed, and repeatable way. The team operates a Central MCP Delivery model: building critical MCP tools and services “for” product teams where required, while simultaneously defining standards, patterns, and platform capabilities that allow teams to progressively move towards self‐service contribution. LSEG AI Assist/ ...

limitations of live AI systems. Core AI Tech Stack : Absolute proficiency in Python , RAG architectures , and Vector Databases . Mastery of Context (MCP) : Deep understanding of MCP (Model Context Protocol/Master Control Prompts), including best practices and security guardrails for building useful assistants. Communication Skills … users. The Ultimate Metric : Your success is measured entirely on business impact-workflows automated, hours saved per week, and user adoption rates-not raw model benchmarks. Skills and Qualifications Benefits of working at Samsung include Hybrid working - 3 days in the office and 2 days at home per week ...

security and limitations of live AI systems. Core AI Tech Stack: Absolute proficiency in Python, RAG architectures, and Vector Databases. Mastery of Context (MCP): Deep understanding of MCP (Model Context Protocol/Master Control Prompts), including best practices and security guardrails for building useful assistants. Communication … users. The Ultimate Metric Your success is measured entirely on business impact - workflows automated, hours saved per week, and user adoption rates, not raw model benchmarks. Benefits of working at Samsung include Hybrid working - 3 days in the office and 2 days at home per week Bonus scheme linked ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

graph, and hybrid approaches. Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks. Define memory, context, planning, tool‐use, and reasoning strategies for agentic systems. Stay technical. Contribute to architecture, critical‐path code, design reviews, and the hardest technical problems. … Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi‐agent architectures, planning and reasoning, MCP (Model Context Protocol). Model customization: fine‐tuning, distillation, and model evaluation at scale. What success looks like in this ...

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

experience designing and implementing multi‐agent architectures (task decomposition, coordination, orchestration, and agent‐to‐agent (A2A) interaction patterns) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context‐sharing patterns Knowledge Graphs & Reasoning: Building and leveraging knowledge … graphs for context enrichment, reasoning, and workflow automation RAG & Knowledge Systems: End‐to‐end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI/MRM compliance Enterprise ...

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. OUR PEOPLE LSEG is headquartered … logging, observability, and LLM analytics. RAG, vector databases, and advanced retrieval techniques. LiteLLM as an AI and Model Context Protocol (MCP) gateway. MCP gateways and their integration with MCP servers. Contemporary AI models-including, as of July 2026, Fable 5, GPT-5.6 ...

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 … logging, observability, and LLM analytics. RAG, vector databases, and advanced retrieval techniques LiteLLM as an AI and Model Context Protocol (MCP) gateway. MCP gateways and their integration with MCP servers Contemporary AI models—including, as of July 2026, Fable 5, GPT-5.6 ...

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 ...

rapid deployment of GenAI applications (including Retrieval-Augmented Generation (RAG) pipelines) and agents with planning, memory, and workflow orchestration Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management Develop systems to monitor model performance and address data and model drift Recommend best practices … Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK) Strong communication skills for both technical and non-technical audiences Preferred qualifications, capabilities ...

rapid deployment of GenAI applications (including Retrieval-Augmented Generation (RAG) pipelines) and agents with planning, memory, and workflow orchestration Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management Develop systems to monitor model performance and address data and model drift Recommend best practices … Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK). Strong communication skills for both technical and non-technical audiences. Preferred qualifications, capabilities ...

improve SEO, conversion rates, and user experience. Build production AI solutions using Vercel's AI SDK and AI Cloud—including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations. Embed with strategic customers to build production applications—working within their systems, understanding their constraints, and shipping … Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale. Have experience with Model Context Protocol (MCP), building MCP servers, or implementing complex tool‐use patterns in production AI applications. Have led enterprise AI transformation initiatives, including building production agents that automated ...