Machine Learning Engineer

present of AI; Greater London; Híbrido; GBP 70.000 - 110.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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

Responsabilidades

• 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

Conocimientos

Python

PyTorch

scikit-learn

Time series

Reinforcement learning

Optimization

End-to-end ML deployment

Cloud infrastructure experience

Educación

Engineering or science degree

Descripción del empleo

The role asks for a hands-on machine learning engineer who can build, test and ship models, optimisers and controllers that run real industrial plants. A strong candidate has a couple of years of applied ML work, solid Python and PyTorch or scikit-learn skills, and has taken a model all the way into production. A science or engineering background helps, since the models have to respect how physical processes behave.

How it fits the AI era

AI is the core of this work, as learning systems take over fine tuning of plant settings that people once adjusted by hand. Code assistants can speed up routine engineering, but deciding which method fits a furnace or kiln, and checking that it is safe and useful, still needs human judgment. Working closely with plant operators and domain experts also stays a human job.

How it builds AI experience

Someone in this role would gain experience with control focused AI, such as active learning, time series models and optimisation running live on heavy industry sites. To build toward it, try small projects in reinforcement learning or system identification on public process or simulation data, and practise deploying models end to end in the cloud.

Worth showing

• Python and PyTorch projects
• End to end ML deployment
• Time series or control modelling
• Physics or engineering background
• Cloud infrastructure experience

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Gigaton

Industrial artificial intelligence platform providing self learning process control to cut fuel costs and carbon emissions in energy intensive manufacturing.