26 to 50 of 59 Multi-Agent System Jobs in London

will be a hands-on AI builder PM at the centre of that shift. You will prototype and ship multi-agent systems that automate the merchandising experiment lifecycle end to end, define the trust and governance patterns that let agents … topics accessible and to drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop ...

solve real-world problems using AI. Passion for emerging AI technologies and continuous learning. Desirable Experience RAG (Retrieval-Augmented Generation) Multi-Agent Systems Context Engineering AI Evaluation Frameworks Human-in-the-Loop Systems AI-Native Development Learning technologies or educational ...

deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including design patterns, data structures, and algorithms. Familiarity with ...

leading financial services clients. You’ll work hands‐on across the full AI engineering lifecycle, from architecting intelligent multi‐agent systems to deploying scalable production‐grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with ...

Vision We are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading … Agentic Frameworks: Deep expertise in building production‐grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi‐agent architectures Enterprise AI Integration ...

Generative AI and Agentic AI solutions while engaging stakeholders and shaping strategic AI initiatives. If you’re passionate about multi‐agent systems, advanced RAG pipelines, and delivering end‐to‐end AI solutions that create measurable business impact, this role offers both … deploy Generative AI and Agentic AI solutions through the full lifecycle from prototype to production Implement and optimize multi‐agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK Create orchestration patterns including planner/executor ...

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 ...

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 ...

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. ...

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 ...