demands and adapt to ever-changing operational needs. Are you a Machine Learning Engineer with a passion for reinforcement learning, multi-agentsystems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation … of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL) models, multi-agentsystems, and faster-than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with … optimization, logistics, or robotics. Develop, deploy, and maintain machine learning models, with a strong focus on reinforcement learning (RL) and multi-agentsystems to optimize fleet behavior in dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring More ❯
customers and use case leads is a must. You will be responsible for applying generative AI techniques, reinforcement learning, and multi-agentsystems to solve real-world industrial challenges. This role demands a high level of creativity in developing new AI … reliability, safety, and regulatory compliance in industrial settings. Stay ahead of the latest advancements in generative AI, reinforcement learning, and multi-agentsystems to drive innovation within the company. Qualifications Masters degree in Data Science. Thought leader and expert in applied More ❯
collaboration with customers and use case leads is a must. You will be responsible for applying generative AI techniques and multi-agentsystems to solve real-world industrial challenges. This role demands a high level of creativity in developing new AI … to ensure reliability, safety, and regulatory compliance in industrial settings. Stay ahead of the latest advancements in generative AI and multi-agentsystems to drive innovation within the company. Qualifications Strong problem-solving skills, innovation mindset, and ability to thrive in More ❯
and software engineers) to define user stories, rapidly experiment, and ship new features. Explore and implement advanced concepts such as multi-agentsystems, retrieval-augmented generation (RAG), and agentic architectures. Champion quality and reuse across the product and the codebase. Work More ❯
Stevenage, Hertfordshire, United Kingdom Hybrid / WFH Options
MBDA Miissle System
optimisation, co-ordinated guidance and control, decision theory, MDPs/POMDPs, specialist systems, game theory, decision support systems, multi-agentsystems Data fusion and state estimation/tracking algorithms e.g. Kalman Filtering, multiple-model tracking methods, particle filters, grid More ❯
s reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agentMore ❯
Manchester Area, United Kingdom Hybrid / WFH Options
Nicoll Curtin
s reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agentMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Nicoll Curtin
s reimagining how software is built by integrating cutting-edge AI tools directly into the engineering lifecycle. Responsibilities: Design intelligent multi-agentsystems tailored for software development Develop prompt structures, logic flows, and tool integrations that guide agentMore ❯
pre seed funding with a team of 10, and some truly heavyweight supporters. We’re creating a platform for multiagentsystems to work seamlessly with each other. We’re taking the latest research in Agentic AI and distributed systemsMore ❯