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 ❯
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 ❯
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 ❯
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 ❯
in complex environments. The ideal candidate will have experience with LLM-based agents, Reinforcement Learning (RL), event-driven architectures, and multi-agentsystems . You will work on next-generation AI solutions that enhance automation, decision-making, and self-improving AI … decision-making. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar. Integrate AI agents with APIs, databases, and messaging systems (Kafka … push the boundaries of Agentic AI. Stay up to date with AI trends , including autonomous agents, self-improving models, and multi-agent coordination. Required Skills & Qualifications Strong programming skills in Python, Go, or Java . Experience with LLM-based agents (AutoGPT, BabyAGI 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 ❯
Learning Engineer on this team, you will: Leverage frameworks like AgengSDK, and LangChain/LangGraph to design, prototype, and develop multi-agentsystems that are capable of highly autonomous and context-aware interactions Leverage sophisticated GenAI models including reasoning models, real … in using the technologies for agentic AI solutions and cultivate a culture of innovation and responsible AI usage Distill complex research findings and system designs into clear, actionable insights for diverse audiences which include executives, product teams, and external partners Remain on the cutting edge of agentic AI … processing 7+ years of hands-on work building high-impact solutions-ideally building agent-based systems, multi-agent collaboration, or similar paradigms Experience shipping critical, user-friendly, voice-based conversational systems that perform multiMore ❯
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 ❯
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 ❯