1 to 25 of 94 Multi-Agent System Jobs in England

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 ❯

Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's or PhD in Computer Science Generative AI: Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen-vl, DocOwl etc.) for understanding … shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology). Our success absolutely depends on More ❯

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 ❯

and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare. Previous experience of training (fine turn) large language models, hands on experience with DeepSpeed Extensive experience More ❯

agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at … Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills … protocols Infrastructure as Code using Terraform , AWS CDK or similar Experience with secure cloud deployments and production ML model integration Bonus Skills Applied work with multi-agent systems , tool orchestration, or autonomous decision-making Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress More ❯

agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at … Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills … protocols Infrastructure as Code using Terraform , AWS CDK or similar Experience with secure cloud deployments and production ML model integration Bonus Skills Applied work with multi-agent systems , tool orchestration, or autonomous decision-making Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress More ❯

agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at … Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination , intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations Must-Have Skills … protocols Infrastructure as Code using Terraform , AWS CDK or similar Experience with secure cloud deployments and production ML model integration Bonus Skills Applied work with multi-agent systems , tool orchestration, or autonomous decision-making Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress 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 ❯

frontend technologies (Chainlit, Streamlit, etc.) experience. Experience with taking an AI-related startup or scaleup from the early stages to maturity, and AI agents and multi-agent systems. Fluency with CI/CD pipelines, preferably Github Actions. DevOps and deployment orchestrators, preferably Kubernetes. Deep expertise with Docker-based development environments and deployments. 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 ❯

Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure … systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full-stack systems and LLM applications that deliver measurable business value Maintain low latency, high system uptime, and strong performance across APIs and AI services Drive fast, iterative collaboration across product, design, and engineering teams Continuously improve the platform through testing, research, and integration of 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 ❯

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 ❯

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 ❯

way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position and the roles will be based at our dynamic sites in Gothenburg (Sweden) or Macclesfield (UK … . Accountabilities: Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi … computer science, data science, artificial intelligence, machine learning or related fields. Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on 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 ❯

our growing team focused on building intelligent, customer-facing AI agents. In this role, you'll leverage cutting-edge technologies, from large language models to multi-agent orchestration framework, to create high-impact AI solutions that directly interact with users. You'll also embrace the power of AI-assisted development to boost … CI/CD tools and DevOps best practices. Experience using AI tools like GitHub Copilot to enhance software development productivity. Nice to Have: Experience developing multi-agent systems or autonomous reasoning workflows. Familiarity with front-end tools like React or Next.js for end-to-end integration. Understanding of responsible AI principles More ❯

language-model agents into a seamless personal productivity assistant. About the role Our AI Product team is looking for an engineer who obsesses over making multi-agent systems robust, observable, and continuously improving . You'll build the test harnesses, evaluation pipelines, and monitoring layers that keep dozens of collaborating agents … B tests, cost-latency trade-off studies, and rollback safeguards as part of the dev cycle. It would be great if you have: Experience scaling multi-agent planners or tool-using agents in real products. Familiarity with vector databases, semantic diff tooling, or RLHF/RLAIF pipelines. A knack for weaving human More ❯

optimisations . This is an 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-driven legal solutions. Design and … multi-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, applied machine learning, and NLP More ❯