25 of 25 Permanent Multi-Agent System Jobs in England

demands and adapt to ever-changing operational needs. Are you a Machine Learning Engineer with a passion for reinforcement learning, multi-agent systems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation … of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL) models, multi-agent systems, and faster-than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with … optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agent systems to optimize fleet behavior in dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring More ❯

LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-Agent Systems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory … in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in More ❯

sensors, actuators, and embedded systems. Work with real-time simulation environments (ROS2, PX4, GAZEBO). Contribute to cooperative robotics and multi-agent system projects. Collaborate cross-functionally to deliver innovative and rigorously tested robotics solutions. Conduct simulations and hardware-in More ❯

reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen More ❯

tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy … AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building More ❯

tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy … AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building More ❯

tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy … AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building More ❯

tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy … AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply now to join this high growth and award-winning organisation with the opportunity to be part of building More ❯

opportunity to bridge cutting-edge AI research and real-world applications . Responsibilities: Conduct applied research on LLM-based reasoning, multi-agent systems and developing frontier bespoke models for automating legal workflows. Develop prototypes and experimental models to explore novel AI … step legal workflows. Stay up to date with the latest advancements in model architectures, alignment and interpretability, and orchestrating complex multi-agent systems. Collaborate with engineers to transition experimental models into production-ready systems . Qualifications: Strong background in AI research More ❯

well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. … of GenAI across Google is as easy and as fast as possible. Responsibilities Build the platform that incorporates fine-tuning, multi-agent systems, prompt engineering, model optimization, etc. into the Google product development lifecycle. Develop and maintain our products, written in More ❯

optimisation, co-ordinated guidance and control, decision theory, MDPs/POMDPs, specialist systems, game theory, decision support systems, multi-agent systems Data fusion and state estimation/tracking algorithms e.g. Kalman Filtering, multiple-model tracking methods, particle filters, grid More ❯

s reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent More ❯

s reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent More ❯

s reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agent systems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agent More ❯

Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch. Active interest and experience in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story's Agent TCP/IP, Near's AITP), distributed systems More ❯

dialogue management Experience with modern deep learning frameworks (PyTorch, TensorFlow) Excellent written and verbal communication skills PREFERRED QUALIFICATIONS Knowledge of multi-agent systems and tool-use frameworks Experience with e-commerce or shopping domain applications Publications at top venues (ACL, NeurIPS More ❯

and are encouraged to learn and experiment every day, there's no better place - guaranteed! :) WHAT YOU WILL DO - Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer); - Write the prompts, logic, and scaffolding that guide … each agent's behavior; - Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs; - Evaluate and refine agents' output, performance, collaboration patterns, and feedback loops. MUST HAVES - 5+ years of professional software engineering experience; - Proficiency with More ❯

and are encouraged to learn and experiment every day, there's no better place - guaranteed! :) WHAT YOU WILL DO - Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer); - Write the prompts, logic, and scaffolding that guide … each agent's behavior; - Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs; - Evaluate and refine agents' output, performance, collaboration patterns, and feedback loops. MUST HAVES - 5+ years of professional software engineering experience; - Proficiency with More ❯

AI-augmented engineering team . They are looking for a Senior Software Engineer to help lead the design of intelligent, multi-agent systems that plan, write, review, and deploy code. This goes far beyond code autocompletion—you'll be orchestrating systems More ❯

AI-augmented engineering team . They are looking for a Senior Software Engineer to help lead the design of intelligent, multi-agent systems that plan, write, review, and deploy code. This goes far beyond code autocompletion—you'll be orchestrating systems More ❯

commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the More ❯

commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the More ❯

for a highly capable Technical AI Business Analyst with hands-on experience delivering production-grade GenAI solutions, particularly those leveraging multi-agent architectures using frameworks like LangChain, LangGraph, and OpenAI’s Agent Framework. You will join a forward … What You’ll Do Work closely with AI engineers and Treasury SMEs to define end-to-end use cases involving multi-agent AI systems. Translate business needs into detailed technical workflows using LangGraph, ensuring agents interact via clear logic and shared state. … and internal process maps for end users and engineering handover. Must-Have Skills Strong experience with LangChain, LangGraph, or equivalent multi-agent orchestration frameworks. Solid understanding of RAG (Retrieval-Augmented Generation) architecture, including chunking strategies, embeddings, and prompt design. Proven ability to More ❯

bring LLM capabilities into our existing product. You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within an enterprise organisation. Work Environment: Remote-first setup: Fully remote work with the option to use a WeWork … AI specialists while maintaining clear documentation Build and deploy Agentic LLM-based solutions with LangGraph. Familiar with different multi agent system patterns Build and deploy LLM-based solutions using RAG Design and optimise APIs using Python and Flask to serve More ❯

military systems are designed, built, and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control center. As the world enters an era of strategic competition … in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems. Developing and testing multi-agent autonomous systems and deploying in real-world environments. Feature and algorithm development with an understanding of behavior trees. Developing More ❯