PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. The core of this platform is powered by several Machine Learning Python Libraries handling everything from data processing, to deep learning model training, and complex optimisation algorithms. The Libraries team is responsible for designing, developing, and maintaining those Machine Learning Libraries. As a Machine Learning Software Engineer within the team, you will be the crucial link between cutting-edge research and production-ready software. You will collaborate closely with our Research team to translate the latest state-of-the-art models and techniques into robust, easy-to-use, and performant library code. You are a software engineer who thinks like a data scientist, ensuring our libraries are not only robust but also embody the best practices of the machine learning lifecycle.