AI Engineer

Job Description: Technical Contractor - Applied Physics and Data Modelling We are seeking a technically versatile contractor with a strong background in applied physics, data collection, and AI/ML modelling to join our team. In this role, you will bridge the gap between physical systems and data-driven models, playing a crucial role in our product testing environment. Key Responsibilities: • Design, run, and refine experiments to capture data under various test conditions. • Structure, record, and manage datasets for machine learning training and validation. • Analyse experimental results to extract insights and provide feedback to improve product/system performance. • Transition an existing mechanical/physics-based model into a thermodynamic framework. • Tune and optimise models to accurately represent real-world outcomes. • Build and refine AI/ML models using PyTorch. • Perform simulation and modelling work using Matlab. Required Skills & Experience: • Strong grounding in thermodynamics and applied physics/engineering. • Hands-on experience with PyTorch for machine learning. • Proficiency in Matlab for analysis and simulation. • Proven track record of systematic experiment design and data analysis. • Practical mindset with the ability to work directly with hardware and real-world testing environments. • Strong analytical and problem-solving skills. Desirable Experience: • Previous work in food tech, IoT, or robotics. • Familiarity with embedded systems or sensor integration. • Exposure to fast-paced R&D or startup environments.