Artificial Intelligence Engineer

3 months - probable extension

Rate - £550-650 (flexible based on experience)

We’re looking for a technically versatile contractor to help bridge applied physics, data collection, and AI/ML modelling within a product testing environment. This role combines hands-on experimentation with advanced modelling — ideal for someone who enjoys translating physical systems into robust, data-driven models.

About the Role

This role combines hands-on experimentation with advanced modelling, ideal for someone who enjoys translating physical systems into robust, data-driven models.

Responsibilities

• Design, run, and refine experiments for data capture across different test conditions.
• Structure, record, and manage datasets for machine learning training and validation.
• Analyse experimental results to extract insights and feed back into 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.
• Carry out simulation and modelling work in Matlab.

Qualifications

• Strong grounding in thermodynamics and applied physics/engineering.

Required Skills

• Hands-on experience with PyTorch for machine learning.
• Proficiency in Matlab for analysis and simulation.
• Track record of systematic experiment design and data analysis.
• Practical mindset — able to work directly with hardware and real-world testing environments.
• Strong analytical and problem-solving skills.

Preferred Skills

• Previous work in food tech, IoT, or robotics.
• Familiarity with embedded systems or sensor integration.
• Exposure to fast-paced R&D or startup environments.