101 to 105 of 105 Multi-Agent System Jobs in the UK

knowledge representation, ontology design, and explainable reasoning. Collaborate with platform and simulation engineers to integrate models into wider platform Design multi-agent reasoning systems powered by a shared knowledge graph. Leadership Operate as the founding technical leader prior to CTO hire ...

knowledge representation, ontology design, and explainable reasoning. Collaborate with platform and simulation engineers to integrate models into wider platform Design multi-agent reasoning systems powered by a shared knowledge graph. Leadership Operate as the founding technical leader prior to CTO hire ...

Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such … Success Metrics Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through ...

-focused software engineer to build internal agentic frameworks for our discovery product. You will define and implement the operating system that allows scientists to run repeatable, agent-in-the-loop, tool-using workflows while maintaining strong provenance, traceability, and review … workflows into robust software. Nice-to-have experience Experience with agent frameworks, retrieval-augmented generation, or multi-agent systems. Familiarity with ML experiment tracking or model registries and data orchestration platforms. Exposure to knowledge-graph or evidence-graph ...

-focused software engineer to build internal agentic frameworks for our discovery product. You will define and implement the operating system that allows scientists to run repeatable, agent-in-the-loop, tool-using workflows while maintaining strong provenance, traceability, and review … workflows into robust software. Nice-to-have experience Experience with agent frameworks, retrieval-augmented generation, or multi-agent systems. Familiarity with ML experiment tracking or model registries and data orchestration platforms. Exposure to knowledge-graph or evidence-graph ...