1 to 25 of 36 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 ...

technical anchor on the agentic work, taking messy, ambiguous client problems and turning them into proper multi-agent systems that hold up in production. You'll set the technical direction, work closely with senior stakeholders, and grow the team that delivers … better fit for someone who likes building than maintaining. What You'll Do Own the design and build of their Multi-Agent Systems (MAS), picking the right patterns and frameworks for each problem rather than forcing one approach Lead and mentor ...

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 ...

NeMo Knowledge of financial services NLP applications Experience designing evaluation methodologies for LLM outputs Experience building intelligent agents or multi-agent systems Skills and mindset Strong analytical problem-solving skills Ability to design scalable, production-ready AI systems Clear communication ...

complex data • Design and implement APIs in FastAPI for AI workflows and product features • Build and scale LangGraph-based multi-agent systems with checkpointing, retries, and observability • Integrate vector search, knowledge graphs, and retrieval pipelines into production services • Deploy services ...

deliver high-impact AI solutions in a fast-evolving environment. Responsibilities Design and build LLM-powered AI agents and multi-agent systems for real-world business applications Develop agentic workflows, incorporating RAG, reasoning, planning, and tool orchestration Build and deploy production … with MLOps and ML platforming (e.g. Databricks or equivalent) Experience designing and deploying systems on cloud platforms (AWS preferred) Strong understanding of system design, orchestration, and production constraints Ability to work independently, take ownership, and proactively drive work forward Strong communication skills, with the ability to engage ...

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 ...

Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for Experience building production AI/multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.) Strong Python engineering skills (clean, production-grade code) Hands-on experience with cloud ...

with multi‐agent frameworks/systems and an understanding of multi‐agent systems and their applications in complex problem‐solving scenarios. Experience in working with variety of data bases ...

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 ...

vision, processes, and best practices genuine technical leadership, not a senior IC with a fancier title. This role leads on multi-agent systems and LLM orchestration patterns. Building complex agentic workflows. You'd be working with frameworks like LangGraph, Pydantic ...

vision, processes, and best practices genuine technical leadership, not a senior IC with a fancier title. This role leads on multi-agent systems and LLM orchestration patterns. Building complex agentic workflows. You'd be working with frameworks like LangGraph, Pydantic ...

vision, processes, and best practices genuine technical leadership, not a senior IC with a fancier title. This role leads on multi-agent systems and LLM orchestration patterns. Building complex agentic workflows. You'd be working with frameworks like LangGraph, Pydantic ...

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 ...

deep‐tech company developing AI and robotic systems designed to operate in mission‐critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi‐modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed ...

ground floor Areas of Interest They’re particularly interested in engineers with experience in: LLMs and generative AI Reinforcement learning Multi-agent systems Computer vision Robotics AI Simulation and synthetic environments Optimisation systems AI infrastructure and inference Applied research Productionising ...

that are not only powerful, but also explainable. Investment decisions are high-stakes, and users must be able to understand why the system recommends particular actions or highlights certain risks. The PhD will explore explainable AI (XAI) methods that enable transparency, interpretability and user trust, ensuring that … users retain oversight, agency, and the ability to challenge or override recommendations. Methodologically, the project blends machine learning, probabilistic modelling, multi-agent systems, explainable AI, and human-computer interaction, alongside knowledge representation and graph-based reasoning techniques. A design-science research ...

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 ...

GenAI Engineer to define the architecture and technical direction behind our AI platform. Focus areas: - LLMs - Agentic AI - RAG - LLMOps • - Multi-agent systems - AI Infrastructure This is a true high-impact role with direct exposure to exec leadership and ownership over ...

solution lifecycles. Building and exposing APIs and reusable components for agent execution and integration. Monitoring, optimising, and improving AI system performance, accuracy, and reliability. Supporting CI/CD practices and managing deployments across environments. Providing technical leadership, mentoring teams, and establishing best practices … regulated industries such as financial services or insurance. Experience with responsible AI governance frameworks and compliance processes. Exposure to multi‐agent systems or advanced orchestration patterns. Relevant certifications in Azure AI, cloud platforms, or data and AI technologies. Rewards & Benefits ...

sports ecosystem. They’re looking for Backend & Full Stack Engineers to help build AI chatbots, commentary/audio engines, and multi-agent systems. It’s a highly product-focused environment where Engineers help shape what gets built, not just ...

architecture and infrastructure required to build and scale the Molecule Design product portfolio, including cloud-native solutions, data pipelines, and multi-agent system architectures. Why you? Qualifications & Skills Bachelor's degree in a technical or scientific field, with a focus ...

range of cutting-edge applied AI products to mission-critical environments, applying the latest thinking in knowledge graphs, hybrid multi-agent systems, distributed systems, and more. You will set a clear pace, lead with high quality and security standards ...

will: Deploy AI systems across the business, automating workflows across engineering, finance, ops, and growth. Build and run multi-agent systems that execute tasks end-to-end (research → modelling → outreach). Own the automation stack using tools like Clay ...

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 ...