Industrial ML Engineer: End-to-End Control & Deployment

present of AI; Greater London; Hybride; GBP 70 000 - 110 000; Plein temps

Résumé du poste

Gigaton is seeking a hands-on machine learning engineer to build, test and ship models, optimisers and controllers that run real industrial plants. You will work with plant operators and domain experts to ensure safety and usefulness while delivering production-grade ML systems.

The role suits someone with 2+ years of applied ML, strong Python and PyTorch or scikit-learn, and from a science or engineering background to respect physical process constraints.

Qualifications

• 2+ years of applied ML work
• Strong Python and PyTorch or scikit-learn skills
• Model shipped into production or used in live settings
• Science or engineering background helps to respect physical processes

Responsabilités

• Build, test and ship models, optimisers and controllers that run real industrial plants
• Collaborate with plant operators and domain experts to ensure safety and usefulness of ML solutions

Connaissances

Python

PyTorch

scikit-learn

Time series

Reinforcement learning

Optimization

End-to-end ML deployment

Cloud infrastructure experience

Formation

Engineering or science degree

Description du poste

Gigaton is seeking a hands-on machine learning engineer to build, test and ship models, optimisers and controllers that run real industrial plants. You will work with plant operators and domain experts to ensure safety and usefulness while delivering production-grade ML systems.

The role suits someone with 2+ years of applied ML, strong Python and PyTorch or scikit-learn, and from a science or engineering background to respect physical process constraints.