51 to 75 of 83 Multi-Agent System Jobs in the UK

delivery, scale the function, and define its future. You\'ll work with Claude, Claude Code, MCP, LangChain to implement multi-agent systems, RAG pipelines, and tooling. This is a hands-on leadership role with three engineers initially. The role is fully ...

extrinsic metrics for model performance aligned with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical ...

experience and solid understanding of machine learning and deep learning methods Hands on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments Recent hands‐on experience training, deploying models and pipelines Ability to design experiments ...

experience and solid understanding of machine learning and deep learning methods Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments Ability to design experiments and training frameworks, and to outline and evaluate intrinsic ...

experience and solid understanding of machine learning and deep learning methods. Hands‐on experience building agentic AI/multi‐agent systems within regulated or compliance‐driven environments. Ability to design experiments and training frameworks, outline and evaluate intrinsic and extrinsic metrics ...

establishing an \"Agentic Factory\" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design … teams across the organisation. Responsibilities Technical Leadership & Engineering Design Agentic Systems: Design and scale robust, secure, and production-ready multi-agent workflows, orchestrations, and advanced RAG architectures, in collaboration with Enterprise Architecture principles. Drive delivery by designing and building agentic solutions ...

clients who want deeper understanding of how customers engage with their products and services Contribute to engineering teams across complex, multi‐system agentic programmes Contribute to technical standards, quality frameworks and architecture governance Ensure systems are designed for scalability, observability and compliance Collaborate … with production experience in Python and similar languages across AI systems Experience building or contributing to RAG pipelines, multi‐agent systems or LLM‐based products, ideally at meaningful scale Hands‐on experience with at least one major cloud AI platform ...

Agentic AI solutions, engaging stakeholders and shaping strategic AI initiatives. The role combines engineering leadership with technical consulting across multi-agent systems, RAG pipelines, and end-to-end AI delivery. You will lead delivery, ensure governance and data privacy, and contribute ...

deliver end-to-end value for the Risk business. The ideal candidate has expertise in software engineering, data science, and multi-agent systems with strong skills in Python and AWS. This position emphasizes leadership and strategic vision in AI deployment. #J ...

industries such as pharma and financial services. Our platform helps organisations navigate complex, interconnected data and automate sophisticated workflows using multi-agent AI systems. The role We need someone who can turn product vision into shipped product, week after week. You will ...

ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped … deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent ...

ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi-agent pipelines, integrating large language models and vision-language models into real workflows, and deploying them into secure and air-gapped … deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent ...

languages include: TypeScript and the JavaScript ecosystem, Python and Java). Hands-on experience building and deploying AI agents or multi-agent systems. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client ...

agents, knowledge bases, and model inference in production environments, not limited to basic API calls. Agentic AI and multi‐agent systems – direct experience designing and deploying agent pipelines with real orchestration complexity. MCP (Model Context Protocol) – built … Python – strong, applied proficiency in an AWS and AI context. AWS infrastructure – working knowledge of Lambda, DynamoDB, and S3 as components of AI system backends. Observability – experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred). LLM integration – prompt engineering, tool/function calling ...

Doing Design, build and deploy production-ready agentic AI solutions using Amazon Bedrock and the wider AWS ecosystem. Develop multi-agent architectures, orchestration frameworks and intelligent workflows that solve complex business challenges. Build and maintain Model Context Protocol (MCP) servers to enable … Skills Needed Proven experience delivering production-grade AI applications using Amazon Bedrock. Strong background designing and implementing agentic AI and multi-agent systems. Hands-on experience building or integrating MCP (Model Context Protocol) servers. Experience developing RAG architectures, knowledge bases and vector ...

execute enterprise‐wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi‐agent systems for orchestration, agent‐to‐agent communication, eval, memory, telemetry, and guardrails. … field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end‐to‐end pipelines on AWS. Hands‐on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills Strategic thinker with the ability to drive technical vision for business impact. ...

follow‐ups Identify recurring operational issues and automate remediation to improve platform stability and developer experience Build and maintain multi‐agent systems with strong orchestration (planning, coordination, tool‐calling, state/memory, and workflow control) where appropriate Contribute to an inclusive … communities of practice Required Qualifications, Capabilities, and Skills Formal training, certification, or equivalent practical experience in software engineering concepts Hands‐on experience with system design, application development, testing, and operational stability in production environments Advanced proficiency in Python for building production‐grade services and tooling Proficiency with automation ...

Multiverse Computing Multiverse Computing is a fast‐growing deep‐tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software ...

enterprise-grade standards. Your role will encompass deep ownership of critical architecture domains such as AI security, data engineering, and multi-agent systems. This position involves producing architecture artifacts, mentoring engineering teams, and continuously integrating emerging AI technologies. #J-18808-Ljbffr ...

development of client-facing advisory services in a remote setting. This role is ideal for strategic practitioners eager to design multi-agent systems that drive client success. Your roadmap will involve building comprehensive training products and overseeing a team ...

directly, not manage from a distance. You’ll own Odyssey's research agenda across world simulation, multimodality, robotics, and multi‐agent systems, define and execute the vision that positions Odyssey as the leading voice in world models, and take responsibility ...

Research to lead the Frontier ML group. You will shape the research agenda across world simulation, multimodality, robotics, and multi-agent systems, and drive publication strategy and external reputation. You will report to the Co‐Founder/CTO and work with ...

Group is seeking a hands-on AI builder PM to lead autonomous merchandising optimisation across its brands. You will prototype multi-agent systems, run experiments, and ship features that automate the merchandising lifecycle end-to-end. You will partner with engineering ...

seeking a hands-on AI‐driven PM to own autonomous merchandising initiatives across brand experiences. You will prototype multi‐agent systems, orchestrate sub‐agents via internal APIs, and partner with engineering, DS/ML, and design to define the product strategy ...

this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide … cost efficiency, performance, and enterprise‐grade reliability Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements Architect and implement foundation model integrations — selecting the right models ...