19 of 19 Multi-Agent System Jobs in London

you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine Learning Engineer, you'll play a key role in developing … your contributions will directly shape both the future of our platform and your own growth. Key Responsibilities Design, build, and deploy RAG systems , including multi-agent and AI agent-based architectures for production use cases. Contribute to model development processes including fine-tuning, parameter-efficient training (e.g. … work across disciplines with ML scientists, engineers, and stakeholders. Preferred Qualifications PhD in Computer Science, Machine Learning, Engineering , or a related technical discipline. Experience with multi-agent RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to More ❯

to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and design AI-powered agent … Experience with AI chatbot frameworks (Dialogflow, Rasa, BotPress, or custom LLM integrations). Exposure to AI ethics, data privacy, and compliance regulations. Prior experience in multi-agent systems or autonomous AI workflows. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and AI embeddings. Remote WorkingSome remote working CountryUnited Kingdom LocationWC1 More ❯

Salary range £100,000-£150,000 p.a. + equity, depending on experience (up to £170,000 for candidates with exceptional relevant experience) Apply Email us at and tell us a little bit about yourself and your interest in the future More ❯

decision-making, and task execution. 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 & Personalization: Develop solutions to enhance …/ML development, with expertise 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 return: Make your day work More ❯

reinforcement learning, and supervised fine-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 scalable machine learning workloads on … fine-tuning, and expertise in 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 the future of AI driven More ❯

reinforcement learning, and supervised fine-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 scalable machine learning workloads on … fine-tuning, and expertise in 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 the future of AI driven More ❯

reinforcement learning, and supervised fine-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 scalable machine learning workloads on … fine-tuning, and expertise in 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 the future of AI driven More ❯

AI solutions into Hiya's products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice intelligence. What You'll Do Integrate AI solutions into existing products and More ❯

and software engineers) to define user stories, rapidly experiment, and ship new features directly to customers to use Explore and implement advanced concepts such as multi-agent systems, retrieval-augmented generation (RAG), agentic architectures and next generation OCR pipelines Champion quality and reuse across the product and the codebase. Work across More ❯

Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal … ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning … Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent More ❯

pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A as well as principles of Multi-Agent Systems. Work closely with engineering teams to implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform More ❯

React/Full-Stack, TypeScript, ProseMirror, AI Agents Salary range £100,000-£150,000 p.a. + equity, depending on experience (up to £170,000 for candidates with exceptional relevant experience) Apply Email us at and tell us a little bit More ❯

closely with data engineers, researchers, and platform teams to ensure robust deployment.Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning.Required Skills & Experience:4+ years of experience in AI/ML engineering or data-intensive systems.Strong proficiency in Python for AI … libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.Ability to write clean, efficient, and well-documented code in a collaborative environment.Desirable:Experience with multi-agent coordination or LLM-based autonomous agents.Background in distributed systems, knowledge graphs, or real-time data processing.Contributions to open-source AI projects or relevant research More ❯

a creative and rigorous engineer who is passionate about using AI as a tool to understand the human world. (Desirable) Experience or strong interest in multi-agent systems, agent-based modeling (ABM), or game theory. MS or PhD in Computer Science, Machine Learning, Computational Social Science, or … Collaborate with product and commercial teams to address client challenges through research and technical solutions. Stay at the Forefront: Apply latest techniques in agentic AI, multi-agent systems, and LLM evaluation to enhance our platform's capabilities. More ❯

for an experienced AI Research Engineer (UAV Swarms) to develop and implement AI algorithms specifically for Drone Swarming applications. Previous experience with Swarm Intelligence/Multi-agent systems is ESSENTIAL. Experience of Interest: Bachelors, Masters or PHD in Computer Science, Engineering, Robotics or similar. Industry experience of ideally 3+ years within … AI/Machine Learning. Experience of Swarming, Swarm Intelligence and/or Multi-agent systems. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. ROS/ROS2, Real-time & Embedded Systems. Simulation tools such as Gazebo or Webots. Edge AI/Edge computing familiarity such as NVIDIA Jetson. This More ❯

Build the future of AI-powered information defence. At Valent , weve built Ariadne a world-first multi-agent AI system tackling the rising threat of disinformation. Our clients include multilateral organisations, sovereign wealth funds, governments and global enterprises. If you're passionate about cutting-edge tech, meaningful real world impact … worked with: Kafka, GraphQL, GitHub Actions, Jenkins, or Golang. ?? Why Valent? Mission-led : Build tools that protect global information integrity. High impact : Direct involvement in a vital AI system used by governments and global organisations. Real equity : EMI share options from day one. London-based team : Our hybrid setup relies on regular in-person collaboration. Office location : Ladbroke More ❯

in conversational systems or 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, SIGIR, AAAI, etc.) Amazon is More ❯

built and distributed through trusted digital communities. We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship. Tasks Responsibilities Code with AI-first speed. Use AI … the build breaks at 11 pm, you pour coffee. Edge-of-curve learner: You track the latest AI tools, play with new MCPs, and deploy multi-agent systems Action oriented: Strong bias toward rapid execution and experimentation. Nice-to-haves React/Next.js, Supabase/Postgres, Python back-end chops Prompt More ❯

Collaboration and Reasoning Workflows To enhance customer interactions, it is essential to establish effective collaboration between agents and optimize reasoning workflows. Backend System Development Utilize Node.js and TypeScript to build scalable backend systems that can support the required functionalities. … AI-Powered Development Tools Implement tools such as GitHub Copilot and other AI-powered development solutions to streamline coding, testing, and debugging processes. Experience in Multi-Agent Systems Prior experience in developing multi-agent systems or autonomous reasoning workflows is highly beneficial More ❯