1 to 25 of 30 Model Context Protocol Jobs in London

Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection … environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build ...

Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection … environment. We’ll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build ...

next-generation, enterprise-grade multi-agent AI systems at scale. In this role, you will operate across the entire agentic stack—from orchestration and model management to advanced RAG, enterprise observability, and rigorous evaluation. You will play a pivotal role in shifting our AI capabilities from experimental prototypes … patterns including intent detection, dynamic routing, state management, and hierarchical topologies. Tool & Protocol Integration: Build and govern Model Context Protocol (MCP) servers to expose enterprise tools, internal systems, APIs, and data sources as structured, auditable agent tool surfaces. (Knowledge of A2A is highly advantageous). ...

workflows using LangChain, LangGraph, or similar frameworks for multi-step reasoning and orchestration Enable standardised tool and context integration across AI applications using MCP or similar interoperability patterns Monitor, troubleshoot, and continuously improve models and AI workflows in production to ensure reliability, quality, and accuracy Apply LLMOps and MLOps … Experience building agentic AI workflows and orchestration patterns using frameworks such as LangChain, LangGraph, or similar Understanding of Model Context Protocol (MCP) or equivalent approaches for standardised integration between AI applications, tools, and enterprise data sources Strong Python engineering skills, including experience with libraries and frameworks such ...

Harness that enables end-to-end SDLC automation across .NET and Azure environments. The successful candidate will define the architecture, standards, patterns, and operating model for an agent-based engineering platform scaffolding or harness using GitHub Copilot Agents and frameworks such as Microsoft Agent Framework, ADK, LangGraph, LangChain … skills would be advantageous: · Experience with Semantic Kernel, Azure AI Foundry, Azure OpenAI, or OpenAI APIs · Experience with Model Context Protocol (MCP) tools and agent tool integration · Experience creating reusable software factory, internal developer platform, or platform engineering capabilities · Familiarity with DevSecOps, secure SDLC, and automated security ...

cross-functional teams Strong stakeholder management and client-facing leadership capability Desirable Experience Experience in Banking or Capital Markets (strong preference) Exposure to MCP (Model Context Protocol) Experience operating in regulated enterprise environments Ability to contribute to ROI modelling, business cases, and AI value articulation Experience contributing ...

delivery environments (Agile, SAFe, XP, Jira, Confluence, etc.) Desirable Experience Experience in Banking (essential focus area) Exposure to Model Context Protocol (MCP) Experience in regulated enterprise environments Understanding of MLOps/LLMOps practices Ability to contribute to ROI modelling, business cases, and AI value articulation Experience mentoring ...

within approximately six months from project start. Solutions may use a wide range of approaches, including agentic systems, model context protocol (MCP) servers, retrieval augmented generation (RAG), classical machine learning, knowledge graphs, data transformations, and business logic. The emphasis is on solving the right problem rather than … data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including foundation model APIs, prompt engineering, and retrieval augmented generation • Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative ...

surface customer feedback, influence roadmap priorities, and co-create solutions that solve real startup problems - including reference architectures, agentic workflow patterns, custom coding agents, MCP integrations, and native integration blueprints. * Guide and support the AWS internal community of technical subject matter experts aligned to Agentic Engineering. Create field enablement materials … implementing CI/CD pipelines, DevSecOps workflows, or SDLC automation at scale - Familiarity with Agentic AI architectures multi-agent orchestration, tool-use patterns, MCP (Model Context Protocol), and autonomous agent frameworks - Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine ...

Nice to Have Skills The following skills would be advantageous: · Experience with Semantic Kernel, Azure AI Foundry, Azure OpenAI, or OpenAI APIs · Experience with Model Context Protocol tools and agent tool integration · Experience creating reusable software factory or platform engineering capabilities · Familiarity with DevSecOps, secure SDLC ...

guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards … production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across ...

Mosaic AI, MLflow 3.0, and Unity Catalog Designing multi-agent systems with LangGraph, CrewAI, AutoGen, Semantic Kernel, and Bedrock Agents Defining enterprise standards for MCP servers, A2A communication, and agent-to-system interoperability Owning Responsible AI guardrails aligned to NIST AI RMF, EU AI Act, and ISO/ ...

from monolithic to microservice architectures Experience deploying or governing enterprise AI tooling (Claude Enterprise, Copilot, or similar), particularly around secure rollout, usage policies, and MCP integrations What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity ...

least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows Track record of defining engineering best practice or developer experience within ...

Experience building and deploying AI products into production environments Python and modern backend engineering experience Experience with LLMs, RAG architectures and agentic AI systems MCP or similar protocols for connecting AI systems with tools and external services Strong product thinking and commercial awareness Experience operating within high-growth, scale ...

Experience building and deploying AI products into production environments Python and modern backend engineering experience Experience with LLMs, RAG architectures and agentic AI systems MCP or similar protocols for connecting AI systems with tools and external services Strong product thinking and commercial awareness Experience operating within high-growth, scale ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

RESTful APIs, SQL, and some exposure to mobile development Familiarity with AI-assisted development tools (e.g. Codex, Claude Code) and emerging patterns such as MCP Strong domain knowledge in marketing automation, CDPs, eCommerce systems, analytics, or data engineering Advanced discovery and requirements-gathering skills across multi-layered stakeholder environments Executive ...

looking for someone who writes clean, production-quality code and can turn AI capability into real business impact. Key Responsibilities Build and maintain MCP connectors across core systems. Support the LLM gateway, including model routing, prompt caching, and cost management. Administer Claude Enterprise and ChatGPT Enterprise environments. Develop … engineering standards. Required Skills Strong experience with Python, TypeScript, and .NET development. Hands-on experience building and deploying AI applications in production. Experience with MCP or orchestration frameworks (LangChain, LangGraph, Pydantic AI). Strong understanding of LLM infrastructure (routing, caching, inference optimisation). Experience with LLM observability tools (eg Langfuse ...

will fundamentally change how their Application Security is Delivered within the SDLC. Early Phases of the Programme have already defined the Target Architecture, Threat Model & Prompt Engineering Strategy . The Next Stage is to Transform this Foundation into a Production - Grade Capability Used Daily by Engineering Teams , enabling Developers … Engineering Solutions Ideally Experience would include: Delivered AI/Agent Platforms or AppSec Automation Solutions at Scale Familiarity with: Anthropic Claude/Claude Code MCP or similar Agent/Tool Orchestration Frameworks Experience with AI Security Tooling or AISPM Platforms Exposure to Financial Services Regulatory Environments (eg DORA, FCA/ ...

systems using RAG, reasoning, planning, memory, and tool orchestration Develop multi-step AI solutions capable of autonomous decision-making and tool usage Work with MCP-style architectures and modern orchestration frameworks Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets Deploy scalable AI systems across cloud environments including … LangGraph, or similar frameworks Demonstrable experience building Agentic AI systems and AI agents Strong understanding of RAG architectures and LLM optimisation Experience with FastAPI, MCP/FastMCP, or similar technologies Familiarity with cloud-native AI deployments and data-driven applications Important Applications must clearly demonstrate hands-on Agentic AI experience. ...

solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows … principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher ...

multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design … execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets ...