25 of 25 Multi-Agent System Jobs in the UK

Technical Project Manager - London/Hybrid - Fluent French - AI Delivery/RAG/Multi-Agent Systems - £40,000 - £60,000 The Role An ambitious and fast-growing AI consultancy are looking for a Project Manager with strong experience … solutions. As a Project Manager here, you'll have the opportunity to work on cutting-edge AI initiatives involving RAG, multi-agent systems, modern LLM frameworks, and production AI deployments. You'll play a major role in shaping how projects ...

execute against a roadmap. THE DOMAINS: An AI coaching platform for endurance athletes, with a live consumer app and a multi-agent system that adapts in real time to how people train, recover and live A women's healthtech startup … build robust systems that scale AI and agent-specific skills Experience designing and optimising multi-agent systems for reliability and production performance Understanding of prompt engineering techniques including few-shot learning, chain-of-thought ...

experience) Proven ability to design systems that abstract complexity and enable teams to self-serve at scale Strong software engineering fundamentals (system design, testing, observability, operational excellence, SDLC practices) Experience building or maintaining developer-facing platforms, SDKs, or internal tools Comfortable articulating technical architecture, vision, and strategy … agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms) Practical experience with RAG architectures, prompt engineering, fine-tuning workflows, and multi-agent systems Experience with SDLC acceleration using AI (e.g., copilot-style tools, automated testing, code generation, documentation) Familiarity with model ...

genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing … systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning ...

growth of the company. You’ll take responsibility for key parts of the AI stack, including: Architecting and deploying multi-agent systems Building scalable RAG pipelines and retrieval systems Creating evaluation frameworks (performance, safety, reliability) Shipping AI-driven products used …/ML engineering, with strong software engineering foundation – Experience taking agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch/ ...

strong understanding of AI, machine learning and agent-based AI concepts, including Retrieval Augmented Generation (RAG), multi-agent systems and conversational agents. Experience developing AI solutions using programming languages such as Python, or similar languages used … Agents, Amazon Q, LangChain, LangGraph or similar platforms. The ability to analyse, evaluate and optimise agent behaviour and AI system performance. Experience delivering solutions using cloud platforms and cloud-native delivery techniques. Experience measuring, validating and proving the effectiveness of AI systems ...

Production) Lead the design, development, and production deployment of Agentic AI systems from ideation through enterprise-scale rollout. Build multi-agent workflows capable of planning, reasoning, tool usage, memory management, and autonomous execution. Drive implementation of LLM orchestration frameworks such … success building Agentic AI products from 0→1 and taking them into production environments. Deep expertise in: Agentic AI Architectures Multi-Agent Systems LLM Orchestration RAG Architectures AI Workflow Automation Autonomous Decision Systems Prompt Engineering & Evaluation Frameworks AI Observability & Monitoring ...

benchmarks for extraction, retrieval, and agent performance. Enterprise Integration Collaborate with internal engineering teams on technology stack and infrastructure,system access and permissions, security and compliance requirements, SSO, internalplatforms, and enterprise services API & Contract Design Define and maintain APIs and MCP-based interfaces between … grade software systems. Proven experience building and deploying AI/LLM-powered products used by real users. Strong experience with multi-agent systems and AI orchestration frameworks. Deep understanding of RAG architectures, Vector databases, Hybrid search, Knowledge management systems ...

autonomous AI systems into production inside major global enterprises. We’re talking: → AI agents executing workflows end-to-end → Multi-agent systems → RAG + reasoning systems → Real operational impact → Production-grade AI, not demos They’re hiring engineers ...

concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works ...

adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools. Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms. Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best … security best practices, IAM, secrets management, and artifact governance. Other Qualifications (OQs): Experience with vector databases, RAG pipelines, or multi-agent AI systems. Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK). Hands-on understanding of model drift detection ...

Learning, Edge AI or Distributed ML Digital twins, thermodynamics or physical systems knowledge Safe RL, Offline RL, GNNs or Multi-Agent Systems MSc/PhD or published research in a relevant field Ideal Profile Someone who enjoys solving hard, real ...

similar, and automating internal processes across engineering, finance, operations and outreach. Build agent-driven infrastructure, designing multi-agent systems that execute end-to-end (research, modelling, outreach) and managing local and distributed compute (e.g. Mac Mini clusters … demos), deploying multi-step automated workflows, and running agents in production. Strong technical ability. Comfortable with APIs, scripting and system design, and able to debug and iterate quickly. Graduate or early-career, ideally from a top university (Oxford, Cambridge, MIT, Imperial, or similar) with ...

similar, and automating internal processes across engineering, finance, operations and outreach. Build agent-driven infrastructure, designing multi-agent systems that execute end-to-end (research, modelling, outreach) and managing local and distributed compute (e.g. Mac Mini clusters … demos), deploying multi-step automated workflows, and running agents in production. Strong technical ability. Comfortable with APIs, scripting and system design, and able to debug and iterate quickly. Graduate or early-career, ideally from a top university (Oxford, Cambridge, MIT, Imperial, or similar) with ...

ecosystems. Security Clearance: Holds/Requires active SC Clearance as a minimum. Autonomous AI Frameworks: Architected and deployed production-grade, multi-agent AI systems and xkybehq intelligent workflows, successfully Qualifications, skills, and all relevant experience needed for this role ...

ecosystems. Security Clearance: Holds/Requires active SC Clearance as a minimum. Autonomous AI Frameworks: Architected and deployed production-grade, multi-agent AI xlzlddp systems and intelligent workflows, successfully Like the look of this opportunity Make sure to apply fast ...

services and APIs to support AI‐driven applications and enterprise integrations Implement evaluation, monitoring, and observability frameworks to ensure accuracy, latency, reliability, and system health across AI agent lifecycles Optimize AI and system performance across cost, scalability, and latency dimensions in production ...

with a UK based AI scale up in search of a Principal AI Architect. You will design and build the multi-agent system, an orchestration layer, agent communication framework, and execution pipeline that everything else depends … on. What you’ll build Multi-agent orchestration layer Agent communication + coordination framework Execution pipeline for enterprise-grade analytics Robust production system design (not experiments) Core stack LangGraph · CrewAI · Python · FastAPI · Docker/ ...

operational and safety limits even in unpredictable environments. They are already working with customers in defence and autonomy, including UAVs, multi-agent systems, and mission-critical AI applications. The role This is a hands-on engineering position within a small team. … responsibilities Develop and support real-time monitoring and assurance systems Work on integration with autonomous platforms and simulation environments Test and validate system behaviour in edge cases Contribute across software and systems development Work closely with technical teams and stakeholders What we are looking for Engineering ...

APIs Develop backend services and APIs supporting agent workflows Testing & Performance Define and execute test strategies for AI systems Measure system performance (latency, throughput, accuracy, cost) Debug and optimize production systems Required Skills & Experience 8-10+ years of software engineering experience … Vertex AI, or similar) Preferred Experience Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI) Experience designing multi-agent or distributed AI systems Familiarity with enterprise-scale system integration Experience optimizing AI workloads for cost ...

data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi-agent AI system to surface actionable insights for school leaders in seconds.They are in a high-growth phase, backed by Innovate UK funding, with a roadmap spanning … impact.They are looking for an AI Developer to extend, improve and scale their 22-agent agentic AI platform. The system is built on LangGraph with a supervisor-of-supervisors architecture, integrates multiple LLMs (including Google Gemini), and is monitored via LangSmith.You’ll build ...

Technical Project Manager - London/Hybrid - Fluent French - AI Delivery/RAG/Multi-Agent Systems - £40,000 - £60,000 The Role An ambitious and fast-growing AI consultancy are looking for a Project Manager with strong experience ...

within large language models Building self-correcting and adaptive AI architectures Implementing prompt engineering at production scale Developing and managing multi-agent workflows Optimising retrieval systems and memory strategies (RAG architectures) Requirements 5+ years commercial experience with Python/PHP Proven … delivering production-grade AI systems (not just prototypes) Hands-on experience building autonomous systems, agents, or task-based AI workflows Strong system design and architectural capability Ability to clearly articulate complex technical concepts to non-technical stakeholders Working Model Hybrid model with a strong on-site ...

data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi-agent AI system to surface actionable insights for school leaders in seconds.They are in a high-growth phase, backed by Innovate UK funding, with a roadmap spanning ...

data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi-agent AI system to surface actionable insights for school leaders in seconds.They are in a high-growth phase, backed by Innovate UK funding, with a roadmap spanning ...