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 ❯
collaboration with customers and use case leads, are essential. You will apply techniques such as generative AI, reinforcement learning, and multi-agentsystems to address real-world industrial challenges. Creativity in developing new AI use cases, rapid prototyping, and working closely … optimization of AI models to ensure reliability, safety, and compliance. Stay updated on advancements in generative AI, reinforcement learning, and multi-agentsystems to foster innovation. Qualifications: Master's degree in Data Science. Proven thought leadership in applied Generative AI, demonstrated 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 ❯
reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agentsystems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen 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 ❯
well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. … of GenAI across Google is as easy and as fast as possible. Responsibilities Build the platform that incorporates fine-tuning, multi-agentsystems, prompt engineering, model optimization, etc. into the Google product development lifecycle. Develop and maintain our products, written in More ❯
opportunity to bridge cutting-edge AI research and real-world applications . Responsibilities: Conduct applied research on LLM-based reasoning, multi-agentsystems and developing frontier bespoke models for automating legal workflows. Develop prototypes and experimental models to explore novel AI … step legal workflows. Stay up to date with the latest advancements in model architectures, alignment and interpretability, and orchestrating complex multi-agent systems. Collaborate with engineers to transition experimental models into production-ready systems . Qualifications: Strong background in AI research 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 ❯
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 ❯
Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch. Active interest and experience in multi-agentsystems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story's Agent TCP/IP, Near's AITP), distributed systemsMore ❯
Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch. Active interest and experience in multi-agentsystems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration. Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story’s Agent TCP/IP, Near’s AITP), distributed systemsMore ❯
Robotics | Circa £100K + Competitive Package | London - Hybrid About the Role Work on cutting-edge robotics and autonomy software, powering multi-agentsystems for real-world defence operations. Contribute to areas like perception, motion planning, and secure communications. Key Responsibilities Develop … development Eligible for UK Security Clearance Preferred Skills Background in motion planning, SLAM, estimation, or controls Experience deploying multi-agent autonomous systems Familiarity with behaviour trees and distributed communication networks Knowledge of defence systems or operational tactics Benefits More ❯
excels at independently driving projects from concept to completion. 5+ years demonstrable experiencedeveloping solutions in a software engineering role with experience in radar system development preferably using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing. Cooperative Radar Design:Develop radar systems that enable drones to communicate and share data with one … Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar More ❯
excels at independently driving projects from concept to completion. 5+ years demonstrable experiencedeveloping solutions in a software engineering role with experience in radar system development preferably using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing. Cooperative Radar Design:Develop radar systems that enable drones to communicate and share data with one … Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar More ❯
excels at independently driving projects from concept to completion. 5+ years demonstrable experiencedeveloping solutions in a software engineering role with experience in radar system development preferably using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing. Cooperative Radar Design:Develop radar systems that enable drones to communicate and share data with one … Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar More ❯
excels at independently driving projects from concept to completion. 5+ years demonstrable experiencedeveloping solutions in a software engineering role with experience in radar system development preferably using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing. Cooperative Radar Design:Develop radar systems that enable drones to communicate and share data with one … Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar More ❯
excels at independently driving projects from concept to completion. 5+ years demonstrable experiencedeveloping solutions in a software engineering role with experience in radar system development preferably using theTI mmWave SDK and related development tools. Key Responsibilities: Radar Software Development:Develop, and maintain software for TI AWR radar systems, focusing on signal processing, radar control, and system integration. Technology Integration:Implement advanced radar systems for real-time obstacle detection, avoidance, and proximity sensing during drone flight and landing. Cooperative Radar Design:Develop radar systems that enable drones to communicate and share data with one … Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar More ❯