26 to 50 of 58 MCP Jobs in England

subsequent practical application of ML techniques, preferably NLPs, LLMs, Bayesian Optimisation and MCMCs Strong proficiency in Python and ML frameworks and tools (e.g. PyTorch, TensorFlow, JAX, Hugging Face, vLLM, MCP, prompt engineering) Excellent communication skills and ability to explain ML concepts to non-technical stakeholders Ability to work effectively in multi-disciplinary teams, collaborating across engineering, product, and commercial functions More ❯

learning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context Protocol (MCP) or LangChain. Exposure to large-scale software system architecture. Desirable: Direct experience in generative AI and LLM research. Experience with open-source AI libraries. Knowledge of SQL and database interaction. More ❯

AI concepts. Success in the role requires a strong interest and knowledge of the world of AI in a business context, its use cases, key developments and releases (e.g. MCP, A2A protocol, GPT-5), and the major AI and agent platforms operating in this space. The candidate’s knowledge should extend to a technical understand of how AI and LLMs More ❯

AI concepts. Success in the role requires a strong interest and knowledge of the world of AI in a business context, its use cases, key developments and releases (e.g. MCP, A2A protocol, GPT-5), and the major AI and agent platforms operating in this space. The candidate’s knowledge should extend to a technical understand of how AI and LLMs More ❯

other professionals to achieve project goals. Technical Adaptability: Proficiency in adopting new tools and technologies to refine and optimize projects as required. Python focussed Connecting to Bakcend API Build MCP servers Understand firewalls and networks etc Optimisation of prompts Apply Today If you are a motivated professional with a passion for harnessing the power of generative AI to deliver cutting More ❯

other professionals to achieve project goals. Technical Adaptability: Proficiency in adopting new tools and technologies to refine and optimize projects as required. Python focussed Connecting to Bakcend API Build MCP servers Understand firewalls and networks etc Optimisation of prompts Apply Today If you are a motivated professional with a passion for harnessing the power of generative AI to deliver cutting More ❯

core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for More ❯

core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for More ❯

execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability to lead and supervise other engineers and AI scientists; this role More ❯

shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 120,000 plus equity and bonus More ❯

shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 120,000 plus equity and bonus More ❯

shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 120,000 plus equity and bonus More ❯

shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 120,000 plus equity and bonus More ❯

shipping at least one AI product. Ideally to enterprise customers Excellent systems design skills (you will prove this during a tough interview) Opportunities for growth Experimenting with new frontiers MCP, A2A, etc Building agents This role starts as tech lead but there is scope for progression in a rapidly growing company Salary: Up to £ 120,000 plus equity and bonus More ❯

setups, and internationalisation Experience with build tools like Vite.js , Webpack, or similar Understanding of performance optimisation (Core Web Vitals, asset loading) Bonus: Familiarity with Fiori , Polaris, Storefront/Dev MCP, and accessibility standards (WCAG) What's in it for you? Fully remote setup (UK or EU-based) Up to £70,000 salary + performance-related incentives Access to cutting-edge More ❯

designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯

designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯

designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯

designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯

designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with founders to define the technical path that balances moving fast now with scaling to many customers and dev tools later. ✅ This role More ❯

proactive approach to problem-solving. Previous experience in a customer support environment. Positive and professional attitude. Highly motivated and results-driven. Preferred Qualifications: CompTIA A+ or Microsoft Certified Professional (MCP) certification. Advanced proficiency in Microsoft Windows 11. Experience in network troubleshooting and basic configuration. Familiarity with remote desktop support tools and techniques. Solid understanding of Microsoft Office 365 and cloud More ❯

success metrics. Guide the team on technical standards, code quality, and solution architecture. Support enablement and training sessions for the teams, promoting safe citizen development. Advise on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of … delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in agile delivery, technical leadership, and More ❯

success metrics. Guide the team on technical standards, code quality, and solution architecture. Support enablement and training sessions for the teams, promoting safe citizen development. Advise on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of … delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in agile delivery, technical leadership, and More ❯

AI and data-led innovation. 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, messaging, and launch strategies. Define key metrics and …/UX elements powered by 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 features delivering measurable gains in efficiency, accuracy, and user … enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology into clear business outcomes and ROI. Excellent communication, collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira More ❯

AI and data-led innovation. 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, messaging, and launch strategies. Define key metrics and …/UX elements powered by 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 features delivering measurable gains in efficiency, accuracy, and user … enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology into clear business outcomes and ROI. Excellent communication, collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira More ❯