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 ❯
LLM Fine-Tuning & Enhancement: Adapt foundational models like GPT, Llama, integrating retrieval-augmented generation (RAG), personalization, and continuous improvement loops. Multi-AgentSystems: Implement collaborative AI systems that solve complex challenges in payments and customer interactions. Long-Term AI Memory … in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agentsystems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in 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 ❯
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 ❯
bring LLM capabilities into our existing product. You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within an enterprise organisation. Work Environment: Remote-first setup: Fully remote work with the option to use a WeWork … AI specialists while maintaining clear documentation Build and deploy Agentic LLM-based solutions with LangGraph. Familiar with different multiagentsystem patterns Build and deploy LLM-based solutions using RAG Design and optimise APIs using Python and Flask to serve More ❯