Machine Learning Engineer Jobs

About The Position

Requirements

• Strong Python programming skills.
• Hands-on experience with PyTorch, JAX, or similar machine learning frameworks.
• Experience developing machine learning models for scientific, physics-based, or engineering applications.
• Strong understanding of numerical methods, computational modelling, or applied mathematics.
• Experience working with simulation tools, numerical solvers, or scientific datasets.
• Ability to develop reliable ML pipelines and production-quality software.

Nice To Haves

• A PhD in Physics, Applied Mathematics, Electrical Engineering, Computer Science, or a related discipline.
• Experience with physics-informed neural networks, neural operators, or surrogate modelling.
• Knowledge of scientific computing, computational electromagnetics, or engineering optimisation.

Responsibilities

• Develop machine learning models that predict the behaviour and performance of complex electronic systems.
• Build surrogate models that approximate computationally expensive physics simulations.
• Work with electrical, thermal, and electromagnetic simulation data.
• Develop automated pipelines for generating, processing, and validating engineering datasets.
• Apply physics-informed machine learning and numerical modelling techniques.
• Build optimisation and active learning workflows to improve engineering design processes.
• Validate model predictions against simulation outputs and experimental measurements.
• Take ownership of ML training, evaluation, reproducibility, and deployment workflows.

Benefits

• Equity
• Bonus