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 ❯

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 … work in the specified location Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT System Design Services Referrals increase your chances of interviewing at Good Chemical Science&Technology Co.Ltd. by 2x Get notified about new Solutions Architect jobs in London, England, United Kingdom . 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 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 ❯

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 ❯

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 ❯

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 ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the More ❯

for fast-growing start-ups. Our client is now looking for an experienced AI Engineer with a strong track record in designing and deploying advanced multi-agent AI systems. In this role, you'll play a key part in developing their autonomous AI architecture, ensuring it remains reliable and robust within the 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 ❯

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 ❯