17 of 17 Multi-Agent System Jobs in the UK excluding London

senior full-stack AI/ML engineer with deep expertise in agentic AI frameworks such as LangGraph (or equivalent) and proven commercial experience building complex, multi-agent systems with more than at least four agents. This role blends cutting-edge AI research with hands-on deployment leadership. You will design and … the ability to turn research ideas into production systems that run reliably in constrained environments. Key Responsibilities AI & Agentic Development - Architect, build, and optimise multi-agent AI systems using LangGraph or similar frameworks. - Integrate LLMs into agent workflows for search, reasoning, and automation at scale. - Conduct … Clearance (or ability to obtain). - Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. - Strong grasp of multi-agent orchestration, memory, and tool integration. - Proficiency in Python for AI development and Bash/Go for automation. - Familiarity with AWS core services (EC2, VPC, IAM More ❯

systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate … Essential Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval … in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent More ❯

systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate … Essential Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval … in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent More ❯

systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate … Essential Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval … in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent More ❯

systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate … Essential Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval … in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent More ❯

systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate … Essential Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval … in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent More ❯

systems that support autonomous reasoning and decision-making Collaborate with service designers, engineers, and business analysts to identify and frame AI use cases Prototype multi-agent systems, reasoning engines, and knowledge-graph integrations Implement and fine-tune models for language understanding, decision automation, and data insight generation Evaluate and integrate … Essential Deep understanding of AI and machine learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval … in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent More ❯

Senior AI Engineer with deep commercial expertise in agentic AI frameworks required to lead the development and production deployment of complex, multi-agent systems. *Current SC Clearance Required* 3 month initial contract term (extensions expected) £550-£700/day Outside IR35 This is a rare opportunity to blend cutting-edge AI research … is equally adept at orchestrating sophisticated LLM workflows and managing scalable, secure cloud and edge environments. Why Join? Pioneering Work: Lead the charge on complex multi-agent systems using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership: Own the entire lifecycle, from research and design in … AI/ML engineering and DevOps. You will be instrumental in turning high-level AI concepts into production reality. The scope includes: Architecting and optimizing multi-agent AI pipelines with 4+ agents for scale, reasoning, and automation. Implementing and maintaining multi-region AWS cloud infrastructure using Infrastructure as More ❯

scalable, secure infrastructure? Why This Role is Great Our client - a pioneering UK-based tech organisation - is building next-generation AI systems powered by multi-agent orchestration and generative AI. This role places you at the intersection of cutting-edge research and hands-on engineering. You'll lead the development of … deployment, you’ll be part of a small, high-trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from … mentoring others in agentic AI About You You’ll bring experience in both AI development and systems engineering, including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud More ❯

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 … 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 More ❯

career progression Role Overview: As a Senior/Lead AI Engineer, you will take full ownership of our LLM Ops platform and the orchestration of multi-agent AI systems. You will collaborate with cross-functional teams to design, implement, and scale AI-driven solutions that power intelligent automation across various domains. Key … Responsibilities: Own and lead the development and operations of our LLM Ops platform, ensuring scalability, reliability, and high performance. Design and implement multi-agent orchestration frameworks for autonomous AI workflows. Optimise LLM performance, fine-tuning pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into …/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This 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. If you want to lead Machine Learning innovation from concept to impact and be part of More ❯

years experience in an AI-focused enterprise/start-up Strong Python skills Strong practical experience in LLM concepts (context engineering, RAG, tool calling, workflows, multi-agent systems, MCP) Hands-on experience with frameworks like LangChain, Llamaindex, etc., vector stores, LLM APIs (e.g. OpenAI API, Anthropic API), and building MCP servers More ❯

Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash/Go for automation. Familiarity with AWS core services (EC2, VPC, IAM More ❯

LLMs (ChatGPT, Claude) to support policy and business use cases. The Role Craft and refine prompts using advanced techniques (ReAct, Chain-of-Thought, ART) Build multi-agent workflows and context-aware LLM systems Advise on responsible AI practices and risk mitigation Collaborate with policy professionals and user researchers Essential Skills Proven … prompt engineering experience across multiple LLMs Multi-agent systems and tool-augmented workflows Deep understanding of LLM failure modes and responsible AI Ability to translate technical concepts for non-technical stakeholders The Details Rate: £775/day inside IR35 Duration: Until end of Financial Year Location: London/Bristol/Manchester More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer More ❯

AI Infra Engineer to design, develop, and optimize distributed AI systems for serverless AI platforms. The successful candidate will leverage expertise in large language models (LLMs), and system design to build robust, scalable solutions. This role offers a unique opportunity to contribute to innovative AI-driven systems, collaborating with cross-functional teams to deliver high-impact … required). Have an in-depth understanding of distributed systems and/or cloud computing and/or ML systems and/or multi-agent systems. Have an in-depth understanding of serverless platforms and containerization (e.g., Docker, Kubernetes). Good programming skills, master of at least one language, such More ❯