11 of 11 Permanent Multi-Agent System Jobs in Central London

Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems • Protocol Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol … in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups … ll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership : We have 18-24 months before large More ❯

looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design … this is your chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths More ❯

CTO and will require offer the opportunity to: Help build the engineering team and processes from the ground up Build with the latest in LLMs, multi-agent systems, and define the tech stack Have significant input on the AI strategy and roadmap Design agentic architectures Optimise for production scale Pioneer multi More ❯

Architect and deploy backend services that orchestrate large-scale agent simulations, balancing behavioral sophistication with computational efficiency while optimising prompt design, inference costs, and system performance as agent populations scale. Who You Are Essential Qualifications Bachelor's or Master's degree in CS, Math, Physics, AI, or related technical field … Knowledge of cloud platforms, containerisation, and deploying ML workloads to production Desirable Experience Exposure to research-driven product development or academic AI research Experience with multi-agent systems, simulation frameworks, or agent-based modeling Knowledge of fine-tuning workflows, model optimization, and experiment tracking Understanding of statistical More ❯

balancing hands-on technical work 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. Fine-tune and optimize LLMs More ❯

architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agent systems, contributing to both theoretical innovation and practical applications. Key Responsibilities • Conduct research on AI foundation models to enhance reasoning and data-driven analytical … diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a … as TensorFlow and PyTorch, with the ability to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in More ❯

systems that support reasoning, planning, and decision-making. Collaborate with cross-functional teams to identify AI opportunities within government and public-sector services. Prototype multi-agent systems, reasoning loops, and knowledge graph integrations. Implement and fine-tune LLM-based models for automation and data insight generation. Evaluate and integrate open … understanding of AI, machine learning, and autonomous systems (MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation More ❯

AI-driven, technology-first organisation . Following a major modernisation program, we’ve unified multiple business units onto a single cloud-native platform , built advanced multi-agent AI systems , and are now scaling our roadmap to power the next generation of agentic applications . We’re looking for a skilled Data More ❯

quickly becoming one of the leaders in the intersection of Generative AI and Finance💸 The vision? Replace clunky PDFs, fragmented data, and manual analysis with multi-agent AI systems that read, reason, and cite financial insights. Why this role stands out: 🤖 Work directly on multi-agent More ❯

Founding Software Engineer (React and Python) About the Opportunity You will be joining an elite founding engineering team that includes the world’s number one authority in Multi Agent Reinforcement Learning, seasoned More ❯

A rapidly growing, venture-backed start-up is building an AI-first platform that automates complex workflows within the property management sector. The business develops multi-agent, AI-driven systems that interact across chat, email, and voice channels to streamline communication, scheduling, and operational efficiency for property professionals. Role Overview The … its technical function and drive the evolution of its core platform. This individual will oversee a multidisciplinary team covering AI, backend, frontend, DevOps, and QA , taking responsibility for system architecture, delivery, and scalability as the company transitions from start-up to growth phase. Key Responsibilities Lead and scale a high-performing engineering team (currently 10–12 engineers across … delivery on key technical initiatives. Establish engineering best practices across performance, reliability, and security. Oversee the design and implementation of AI-driven systems — including multi-agent orchestration, LLM integration, and data pipelines (LangChain, LangSmith, vector databases). Drive continuous improvement in CI/CD, cloud infrastructure, and deployment processes (Docker, Kubernetes More ❯