7 of 7 Remote Autonomous Agent Jobs

to meet peak demands and adapt to ever-changing operational needs. Are you a Machine Learning Engineer with a passion for reinforcement learning, multi-agent systems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation tools and ML systems to … behavior of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL) models, multi-agent systems, and faster-than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of … modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML infrastructure, and working with autonomous agent simulations, this is your opportunity to make a significant impact. This is a remote position based in England, Scotland, Portugal, Poland, or Spain. Candidates More ❯

take actions independently in complex environments. The ideal candidate will have experience with LLM-based agents, Reinforcement Learning (RL), event-driven architectures, and multi-agent systems . You will work on next-generation AI solutions that enhance automation, decision-making, and self-improving AI behavior. Key Responsibilities Develop and … agents that operate, learn, and adapt in real-world environments. Optimize TensorFlow-based models for Real Time inference and low-latency 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, RabbitMQ, MQTT). Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus. Ensure AI safety, security, and ethical considerations in agent behavior. Collaborate with AI researchers, ML engineers, and software developers to push More ❯

consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or data-related projects and familiar with its tools, models, and ecosystem. More ❯

consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or data-related projects and familiar with its tools, models, and ecosystem. More ❯

in collaboration with customers and use case leads is a must. You will be responsible for applying generative AI techniques, reinforcement learning, and multi-agent systems to solve real-world industrial challenges. This role demands a high level of creativity in developing new AI-driven use cases, rapid prototyping … world industrial workflows before scaling them into production. Apply generative AI models, including LLMs to create AI agents capable of reasoning, planning, and autonomous execution. Integrate AI-driven decision-making into existing industrial systems, such as enterprise resource planning (ERP), and enterprise platforms. Develop scalable AI pipelines and … models to ensure reliability, safety, and regulatory compliance in industrial settings. Stay ahead of the latest advancements in generative AI, reinforcement learning, and multi-agent systems to drive innovation within the company. Qualifications Masters degree in Data Science. Thought leader and expert in applied Generative AI, as proven by More ❯

AI solutions in collaboration with customers and use case leads is a must. You will be responsible for applying generative AI techniques and multi-agent systems to solve real-world industrial challenges. This role demands a high level of creativity in developing new AI-driven use cases, rapid prototyping … world industrial workflows before scaling them into production. Apply generative AI models, including LLMs, to create AI agents capable of reasoning, planning, and autonomous execution. Integrate AI-driven decision-making into existing industrial systems, such as enterprise resource planning (ERP), and other enterprise platforms. Design, develop, and deploy … optimize AI solutions to ensure reliability, safety, and regulatory compliance in industrial settings. Stay ahead of the latest advancements in generative AI and multi-agent systems to drive innovation within the company. Qualifications Strong problem-solving skills, innovation mindset, and ability to thrive in a fast-paced, experimental environment. More ❯

team of technical leaders from Monzo Bank, we've quickly grown from an idea to a thriving team with well-known customers. Our AI agent helps businesses handle complex, high-stakes customer support queries safely and effectively, providing visibility and control to ensure trust in the outcomes. We're … shaping the future of customer service, we'd love to hear from you. As an AI Engineer at Gradient Labs, you will Enhance our agent: develop, evaluate, optimize, and expand the skills of our AI agent. This includes dataset preparation, iteration on agent capabilities, testing, and deploying successful … and support tickets to identify patterns and areas for automation improvements. We're looking for people who are Excited to push boundaries in autonomous agents that mimic human behavior Motivated to operate in a fast-paced environment rather than long research cycles Capable of summarizing, replicating, and testing More ❯