12 of 12 MCP Jobs in Central London

Skills : Experience using a ticketing system/RMM tool and PSA software. Experience providing support via remote tools. Experience handling technical service tickets. Professional IT certifications such as Microsoft MCP, MCSA or MCSE, ITIL, ITSM, etc. Experience working either on a Helpdesk or for a Managed Service Provider (MSP)/IT Support Business. Produce and keep up to date documentation More ❯

communication and interpersonal skills, with a customer-focused attitude. - Ability to prioritise tasks and manage time effectively in a fast-paced environment. - Relevant IT certifications (e.g., CompTIA A+, Microsoft Certified Professional) are a plus. What We Offer - Competitive salary and benefits package. - Opportunities for professional development and career progression. - A collaborative and supportive work environment. - Exposure to various aspects of 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 ❯

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 ❯

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 ❯

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 ❯