16 of 16 Multi-Agent System Jobs in London

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 ❯

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. Mentor our ML team, promoting best practices in ML/NLP … 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 ❯

Contract Type: Outside IR35 Day Rate: £375 - £400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent/Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi … deploying advanced LLM-based architectures for production use. You will work on building scalable, intelligent systems that leverage agentic workflows, advanced reasoning techniques, and multi-agent communication architectures , integrating them into robust, performant, and explainable AI pipelines. Key Responsibilities Architect and implement LLM-based systems with advanced reasoning capabilities, including … context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval costs. Implement advanced multi More ❯

Contract Type: Outside IR35 Day Rate: £375 - £400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent/Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi … deploying advanced LLM-based architectures for production use. You will work on building scalable, intelligent systems that leverage agentic workflows, advanced reasoning techniques, and multi-agent communication architectures , integrating them into robust, performant, and explainable AI pipelines. Key Responsibilities Architect and implement LLM-based systems with advanced reasoning capabilities, including … context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval costs. Implement advanced multi More ❯

episodic experiences and action trajectories into reusable, network-wide intelligence. Collaborate closely with the CTO to operationalize cutting-edge work in reinforcement learning, LLMs, and multi-agent coordination into production-grade systems. Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers. What you … production systems or prototypes at high velocity, ideally in startup or research contexts where speed and adaptability are paramount. Deep expertise in Generative AI, multi-agent systems, LLMs, end-to-end MLOps, and AI infrastructure. Exposure to Deep Learning, Reinforcement Learning, federated learning, AI evaluation or ML fundamentals is highly … beneficial. Active interest and awareness of SOTA in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as More ❯

/state management in LLM applications. · Solid experience with unit and integration testing, CI/CD, and GitOps practices. Preferred Qualifications · Experience designing and scaling multi-agent systems or tool-augmented LLM workflows. · Familiarity with secure cloud development practices and IAM role design. · Understanding of LLM fine-tuning, embeddings, vector stores 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 ❯

GCP , with proper monitoring and observability Implement clean, tested Python code and maintain CI/CD pipelines Apply core data engineering tools: SQL, DBT, BigQuery What You Bring System thinker, good communicator, and strong work ethic. Curious, pragmatic, and ready to own production-grade systems end-to-end 1+ years of professional software engineering experience Solid Python … development environments like Cursor, Windsurf, Claude Code TDD mindset and comfort with Agile/XP workflows (pairing, code reviews, CI) Nice to Have Exposure to multi-agent systems, memory, or RAG pipelines Develop and maintain agent-facing UIs with React & TypeScript Understanding of agent More ❯

Lead AI Engineer to drive the development of cutting-edge AI applications using LLMs and multi-agent systems. You’ll lead a team building scalable GenAI solutions, architect Agentic AI components, and integrate them into enterprise systems.Skills- Strong experience in full-stack and cloud-native engineering (Azure preferred) Expertise in GenAI (RAG More ❯

skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and providing an environment to learn More ❯

skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without all the required skill and providing an environment to learn More ❯

looking for an experienced Engineer to support and help lay the foundations for their Agentic AI Journey. What you'll do: Architect and deploy robust, multi-agent systems using Google's ADK Design and implement advanced RAG pipelines to provide agents with deep contextual understanding Design, build, and maintain a suite 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 ❯

agility with enterprise-grade engineering to create the data foundation that powers next-generation AI capabilities. Key Responsibilities Architect scalable, real-time data platforms for multi-agent AI systems. Create ETL and streaming pipelines for complex formats - PDFs, images, emails, forms - across thousands of workflows. Lead and grow a high-performing data More ❯

growing team, helping to bring LLM capabilities into new and existing products. You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within a variety of organisations. What You'll Do: Experiment with POCs to find solutions for real-world problems using Large Language Models. Collaborate … alongside engineers, product managers and 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 Familiar with different types of databases: Relational, Graph etc Design and optimise APIs using Python More ❯

Machine Learning Engineer, Prime Video Commerce Science Tech Job ID: Amazon Development Centre (London) Limited Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers More ❯