1 to 25 of 47 Permanent Multi-Agent System Jobs in the UK

data engineers. You will specialize in creating systems that leverage Retrieval-Augmented Generation (RAG), build complex workflows with LangChain/Lan gGraph, and orchestrate multi-agent systems using frameworks like AutoGen and CrewAI. What’s On Your Plate? Collaborate and Innovate: Work closely with product managers, data scientists, and software … and optimize robust RAG pipelines to ground LLMs in external knowledge sources, ensuring factual accuracy and relevance. Build AI Agentic Workflows: Engineer and deploy collaborative multi-agent systems using frameworks like AutoGen or CrewAI to automate complex tasks and decision-making processes. Master Embedding Strategies: Create and manage high-quality vector … a deep understanding of the underlying architecture. Demonstrable expertise in building applications with LangChain and/or LangGraph . Practical experience developing autonomous agents or multi-agent systems using AutoGen, CrewAI , or similar frameworks. Solid understanding of vector embeddings , similarity search, and experience with vector databases. Proficiency in Python and core More ❯

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 ❯

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 ❯

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 ❯

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 ❯

Frontend (40%): Building polished, interactive UIs that handle real-time voice/video ● Backend (30%): Designing APIs, data models, and infrastructure ● AI Orchestration (30%): Implementing multi-agent systems and prompt engineering Core Responsibilities AI Agent Architecture ● Implement multi-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 ❯

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 ❯

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 ❯

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 ❯

new features quickly to improve user experience and unblock the team as we iterate Collaborate closely with researchers and engineers to integrate LLMs into complex, multi-agent systems Write clean, efficient, and tested code following best engineering practices Optimize and maintain agent pipelines from prototype to production … Spread good practices around scalable agentic system design and AI software engineering Who you are You have a background in Computer Science, Software Engineering, or a related field. You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development. You are an engineer … systems. You have hands-on experience with agentic frameworks such as OpenAI Agents SDK, LangChain, CrewAI, or LangGraph. You've built and deployed real time multi-agent applications that are deployed to and tested by real users. You communicate clearly and work well in small, fast-paced teams. Nice to have Experience More ❯

5x AI Solutions Engineers | Outside IR35 | Remote (UK) | 6-Month Contract Role Summary The successful AI Solutions Engineer will extend and enhance our AI Operating System, which leverages LLMs to solve industry-specific challenges across defence, legal, health, infrastructure and management consulting sectors. This is a hands-on lead role focused on rapidly prototyping and deploying AI-powered … to-Agent (A2A). ● LLM evaluation tooling (OpenAI Evals, LangSmith, custom evaluation harnesses). ● Advanced agent patterns: multi-agent systems, supervision, delegation strategies. ● RAG, GraphRAG and knowledge graph design and implementation. ● Vector databases and similarity search systems. ● Graph databases (ArangoDB, Neo4j, Neptune) and 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 ❯

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 ❯

enterprise AI adoption and contribute to the wider AI ecosystem. Culture: Join a fast-moving team operating at the frontier of applied AI. Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration, AI Consultant, Software Engineering for AI, AI Productionisation, Autonomous AI Systems, AI Architect, AI Careers 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 ❯

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 ❯

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 ❯