Machine Learning Engineer – Physical AI / Robotics

Machine Learning Engineer – Physical AI / RoboticsWhat if the models you trained didn’t just generate an answer, but made a robot move?This is an opportunity to work at the intersection of machine learning, robotics and Physical AI, building models that learn how to interact with the real world.You’ll join an ambitious UK AI startup at an early enough stage to have genuine influence over the technology, working on everything from large-scale model training to evaluation, data and deployment on real robotic hardware.What’s in it for you?Founding-stage engineering role with meaningful equityTrain vision-language-action models and world modelsSee your models tested on real robots, not just benchmarksWork across the full ML loop: data → training → evaluation → deploymentBuild infrastructure that makes every training iteration faster and more effectiveSignificant technical ownership without layers of process or bureaucracyHelp shape the ML foundations of a company tackling one of AI’s hardest problemsYour work will include:Training and fine-tuning large-scale machine learning modelsBuilding high-performance training and evaluation pipelinesDeveloping the data infrastructure needed for rapid experimentationImproving dataset quality and creating better feedback loopsOptimising model performance, training efficiency and iteration speedEvaluating models on real robotic systemsUsing results from hardware testing to inform the next training cycleThe core experience we’re looking for is:Strong experience training deep learning modelsExcellent Python skills and experience with modern ML frameworksA strong understanding of model training, optimisation and performanceExperience building reliable ML training or evaluation infrastructureSolid mathematical foundations and a rigorous approach to experimentationThe ability to diagnose why a model isn’t working and systematically improve itAn appetite for the ownership and ambiguity that comes with an early-stage companyYou don’t need to have spent your career in robotics. What matters is that you’re a strong ML engineer who wants to work on models that perceive, reason and act in the physical world.