3 of 3 MCP Jobs in Cambridgeshire

with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A) . Experience with automated testing and validation of AI outputs. Strong problem-solving mindset and ability to communicate technical concepts to non-technical audiences. Agile team experience More ❯

a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms and services, such as Azure, AWS and GCP. Excellent communication, collaboration, and stakeholder management skills. Certifications or More ❯

clients' most complex business challenges and the groundbreaking capabilities of our AI platform. You will be responsible for designing robust, scalable, and innovative solutions that leverage our platform's MCP-first architecture to deliver transformative business value. This is a key role that requires a blend of deep technical expertise, strategic thinking, and exceptional client-facing communication skills. You will … client requirements to our platform's offerings (e.g., Knowledge Hubs, Conversational AI, Real-time Insights, and Agentic Automation). Create detailed architecture documents, data flow diagrams, and technical specifications. MCP Workflow & Ontology Design: Architect the core intelligence for client solutions. This includes designing client-specific ontologies and defining the structure, logic, and composition of Model Context Protocols (MCPs) to automate … 3+ years in a client-facing capacity. Architectural Expertise: Proven ability to design and document complex, distributed, and scalable software systems. Deep understanding of microservices, event-driven architecture, and MCP-first design principles. AI/ML Acumen: Strong foundational knowledge of modern AI concepts, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and vector databases (e.g., Qdrant, Pinecone, Weaviate More ❯