51 to 75 of 99 Multi-Agent System Jobs in England

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

User-Defined Agent Logic: Creating a \"no-code\" engine where users can verbally define workflows and guardrails that the system executes deterministically. Hierarchical & Auditable RAG: Routing queries through complex layers of patient history, clinical guidelines, and organizational policies with full traceability. Resilient Orchestration: Managing … architecture and evolution of the \"Central Brain\" the core service that powers our AI agents. You will design multi-agent systems that reason, retrieve data, and communicate via voice and text in real time. Key Responsibilities: End-to-End Ownership: Define ...

with strategic innovation. Key Responsibilities Design, build, and deploy AI agents using frameworks such as LangChain, CrewAI, or similar. Integrate multi-agent systems into existing software products and business workflows. Collaborate with stakeholders to identify automation opportunities and deliver agentic solutions. ...

with strategic innovation. Key Responsibilities Design, build, and deploy AI agents using frameworks such as LangChain, CrewAI, or similar. Integrate multi-agent systems into existing software products and business workflows. Collaborate with stakeholders to identify automation opportunities and deliver agentic solutions. ...

wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems ...

wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems ...

wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems ...

support reliable model integration, monitoring, and production analysis* Implement optimisation strategies across inference paradigms, including autoregressive, denoising, hierarchical, and multi-agent systems* Work across cloud and hardware constraints to ensure models run efficiently in production* Contribute to high engineering standards through … testing, CI, and robust system design Required Experience * Strong software engineering background with Python and or C++* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX* Experience building or maintaining ML infrastructure, training platforms, or inference systems* Solid understanding of distributed systems, parallel ...

design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures, including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems, embeddings, structured reasoning, and semantic workflows. Ontology … engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ability to build ...

design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology … engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ability to build ...

design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology … engineering, or applied data engineering. Strong experience with LLMs, embeddings, RAG, retrieval stacks, and vector stores. Hands-on experience in multi-agent systems, agent orchestration, or MCP-like tool patterns. Proficiency in Python, including ability to build ...

design and deploy sophisticated AI systems across multiple domains. This includes building LLM applications with robust orchestration, creating multi-agent architectures that handle complex workflows, and implementing advanced retrieval systems using vector databases and embeddings. You'll work on semantic … applied data systems. You have substantial hands-on work with LLMs, embeddings, retrieval architectures, and vector stores. Experience with multi-agent systems, orchestration frameworks, or tool-calling patterns is essential. Strong Python skills are required, along with experience deploying production systems ...

design and deploy sophisticated AI systems across multiple domains. This includes building LLM applications with robust orchestration, creating multi-agent architectures that handle complex workflows, and implementing advanced retrieval systems using vector databases and embeddings. You'll work on semantic … applied data systems. You have substantial hands-on work with LLMs, embeddings, retrieval architectures, and vector stores. Experience with multi-agent systems, orchestration frameworks, or tool-calling patterns is essential. Strong Python skills are required, along with experience deploying production systems ...