51 to 57 of 57 MCP Jobs in the UK excluding London

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. More ❯

to end-users facing issues with hardware, software, or network services. Your Background : Certifications relevant to the specific IT domain are advantageous. (e.g., CompTIA; Network's) Microsoft Certified Professional (MCP) or Microsoft Certified Systems Engineer (MCSE) certification is desired. Previous direct technical support experience. Work experience within a pharmaceutical manufacturing and/or laboratory environment is preferred but not required 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 ❯