16 of 16 Remote/Hybrid Model Context Protocol Jobs in the South East

Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements and translate them into working software. Contribute to technical research, prototyping … development. Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, and Cursor. Azure AI Engineer certification or equivalent practical experience. Understanding of MCP, RAG architectures, or vector databases. Benefits Industry-leading training and development opportunities. Competitive salary with progression potential. 23-days holiday allowance, increasing with length ...

Because People Matter. What You Get: International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients. Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events. Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies … Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools. Experience building chatbots, copilots, or similar AI-driven automation. Solid programming skills with Python. Knowledge of MCP (Model Context Protocol) is a plus. Experience preparing datasets and building ML pipelines. Familiarity with product development lifecycles and agile delivery practices. ...

Because People Matter. What You Get: International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients. Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events. Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies … Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools. Experience building chatbots, copilots, or similar AI-driven automation. Solid programming skills with Python. Knowledge of MCP (Model Context Protocol) is a plus. Experience preparing datasets and building ML pipelines. Familiarity with product development lifecycles and agile delivery practices. ...

Because People Matter. What You Get: International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients. Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events. Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies … Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools. Experience building chatbots, copilots, or similar AI-driven automation. Solid programming skills with Python. Knowledge of MCP (Model Context Protocol) is a plus. Experience preparing datasets and building ML pipelines. Familiarity with product development lifecycles and agile delivery practices. ...

Because People Matter. What You Get: International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients. Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events. Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies … Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools. Experience building chatbots, copilots, or similar AI-driven automation. Solid programming skills with Python. Knowledge of MCP (Model Context Protocol) is a plus. Experience preparing datasets and building ML pipelines. Familiarity with product development lifecycles and agile delivery practices. ...

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/ ...

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 ...

accelerate execution. Productionise and deploy AI-powered tools for engineering and business use cases. Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value. Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. Work with internal stakeholders ...

accelerate execution. Productionise and deploy AI-powered tools for engineering and business use cases. Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value. Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. Work with internal stakeholders ...

accelerate execution. Productionise and deploy AI-powered tools for engineering and business use cases. Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value. Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. Work with internal stakeholders ...

accelerate execution. Productionise and deploy AI-powered tools for engineering and business use cases. Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value. Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. Work with internal stakeholders ...

accelerate execution. Productionise and deploy AI-powered tools for engineering and business use cases. Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value. Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. Work with internal stakeholders ...

LLMs. Skills Development for LLM Models - Understanding of selected LLM technologies and the ability to create and maintain the supporting skills files and MCP servers required. Understanding of Linux - Good working knowledge of Linux, with Docker experience an advantage due to toolchain dependencies. Prompt Design and Context Engineering - Strong … skills in designing prompts and engineering the right context to optimise LLM outputs. Evaluation and Testing - Experience creating test cases and test harnesses for LLM solutions to enable repeatable outcomes where possible. Architectural Guidance - Capability to challenge designs, guide architecture decisions, and drive innovative solutions. Model Management, Outcome ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud‐based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools … infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme ...

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 ...