16 of 16 Remote/Hybrid Model Context Protocol Jobs in England

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 ...

across a Microsoft technology stack. You will work closely with software engineers, data specialists, and product teams to integrate Azure AI, Microsoft CoPilot, and Model Context Protocol into existing business systems. While experience with C# and .NET would be highly beneficial, it is not essential … ecosystem Strong understanding of APIs, data flows, and application architecture Experience of .NET and C# development is desirable but not essential Familiarity with CoPilot, Model Context Protocol, or similar AI technologies Excellent problem-solving, communication, and collaboration skill This role offers the opportunity to take ownership ...

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 ...

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 ...

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 ...

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 ...

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 ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

prompt engineering, writing skills, and working with LLMs in real-world applications. You can demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python … obvious AI platforms such as GPT, Opus, Gemini, Sonnet. You will help the company move to a more fluid API/MCP architecture, including building connectors, that will make it easier for 3rd party ISVs to consume our data and features, and make it easier for the company to consume ...

Risk assessing AI integrations requires technical depth and will form the core of the role. Develop and maintain a deep working understanding of how MCP servers, API connections, permission scopes, and agentic frameworks function in practice, and what each means for data exposure, privilege escalation, and system integrity. Assess … independently. Able to identify and articulate risks that requesters have not considered. AI & Agentic Systems Knowledge: A working understanding of how LLMs, agentic AI, MCP servers, and AI integration patterns function, and the security risks they introduce, including prompt injection, tool misuse, data leakage, permissions that exceed what the integration ...