26 to 48 of 48 MCP Jobs in the UK excluding London

is preferred over surface-level knowledge across all domains. Open source LLMs (Llama, Qwen, Gemma, GPT OSS) and local deployment strategies. Frameworks and protocols such as Model Context Protocol (MCP) or Agent-to-Agent (A2A). LLM evaluation tooling (OpenAI Evals, LangSmith, custom evaluation harnesses). Advanced agent patterns: multi-agent systems, supervision, delegation strategies. RAG, GraphRAG and knowledge graph More ❯

integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between different AI agents. Multi-Agent Orchestration: Design and manage a Model Context Protocol (MCP) to orchestrate, monitor, and govern a fleet of specialized AI agents. Ensure efficient task allocation and collaboration between agents. Agent-to-Agent Communication (A2A): Develop and implement protocols and standards 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 ❯

and other software engineers to give them amazing developer experiences (activation) that make them want to use Infracost every day (retention). Think CLI tools, VS Code & JetBrains extensions, MCP server, Copilot integrations You'll work directly with Ali, co-founder who leads product and customer success, and a dedicated team of senior engineers and a developer advocate. Timezone US More ❯

and other software engineers to give them amazing developer experiences (activation) that make them want to use Infracost every day (retention). Think CLI tools, VS Code & JetBrains extensions, MCP server, Copilot integrations You'll work directly with Ali, co-founder who leads product and customer success, and a dedicated team of senior engineers and a developer advocate. Timezone US 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 ❯

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 ❯

DWDM, OTN, MPLS, IP Transport, Optical Transport, WAN Transmission Networks, including any knowledge of Ciena 6500 & Nokia 7750 products or Optical DWDM, Photonic systems, Ciena OME6500, Ciena One Control, MCP or Cramer etc. I'm keen to hear from you! Position: TX Transport Network Engineer Location: Home based, remote working, work from home Duration: 12+ month contract Hours: Monday - Friday … DWDM, OTN, MPLS, IP Transport Optical Transport or Transmission Networks Network Planning, Optimisation, Troubleshooting Optical DWDM & Photonic systems Ciena OME6500 equipment knowledge & basic configuration skills Ciena One Control or MCP network management platform experience Nokia 7750 port configuration (comprehensive training given) Cramer Inventory systems knowledge Network troubleshooting & problem-solving skills It is essential for candidates to currently hold OR be More ❯

compliance environments Expert knowledge of RAG architectures, advanced RAG patterns, and vector database optimization Experience with Small Language Models (SLM), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP) Proven ability to architect and scale AI solutions for enterprise workloads (1M+ documents, sub-second response times) Key Responsibilities Design end-to-end AI solutions for private equity fund operations … Design and implement advanced RAG architectures including hybrid search, query routing, and contextual retrieval Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) Architect Small Language Model (SLM) integration for specialized tasks and cost optimization Design enterprise-scale solutions supporting millions of documents with sub-second query response times Establish AI governance, model 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 ❯

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 ❯

repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores … . Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). More ❯

repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores … . Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). More ❯

repos, case studies, or live services). Desired Node.js alongside Python for services or integrations. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores … . Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Frontend (when needed): React/Next.js (for dashboards/admins, used selectively). More ❯