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.