Machine Learning Engineer
Core
Building 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
Senior Machine Learning Engineer (IC)
Builds
Production ML models and scalable machine learning infrastructure for industrial control systems.
Domain
Deep tech / Industrial automation / Climate mitigation
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, time-series modelling, industrial or IoT data, dynamical systems, reinforcement learning, system identification, optimisation, Bayesian statistics, cloud compute infrastructure (AWS/GCP/Azure)
Preferred skills
Experience in scientific environments (physics, chemistry, materials science, engineering), fast-paced startup environment, agile process
Technologies
Python, scikit-learn, PyTorch, AWS, GCP, Azure
Responsibilities
Build, test and deploy machine learning models; Contribute to technical innovation and problem-solving across the ML lifecycle; Collaborate with product teams on customer projects; Establish best practices to improve internal processes; Design and implement robust, maintainable and scalable ML systems
Seniority
Senior, hands-on IC