Machine Learning Engineer
Core
Build autonomous AI control and optimisation systems that learn and leverage the physics of manufacturing to run heavy industrial plants more efficiently and with lower emissions.
Role type
Machine Learning Engineer (mid to principal)
Builds
Autonomous AI control and optimisation systems for heavy industrial plants
Domain
Deep tech / Industrial automation / Climate mitigation
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, end-to-end ML deployments, theoretical ML knowledge, cross-disciplinary scientific background (physics, chemistry, materials science, engineering)
Preferred skills
control systems, time-series modelling, reinforcement learning, system identification, optimisation, bayesian statistics, cloud compute infrastructure (AWS, GCP, Azure), software architectural best practices
Technologies
Python, scikit-learn, PyTorch, AWS, GCP, Azure
Responsibilities
Build state-of-the-art systems combining edge control with active learning algorithms; build, test, and deploy models, optimisers, and controllers; contribute to technical innovation across the ML lifecycle; collaborate with cross-functional teams on customer projects; establish best practices for internal processes; design and implement robust, maintainable, and scalable ML systems
Seniority
Mid to Principal, hands-on IC