Machine Learning Engineer

Voltmasters; Gistel; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Health insurance

Apple laptop + second screen

Hybrid working

Learning budget €2,000 per year

Flexible work-life balance

Résumé du poste

Voltmasters in Belgium seeks a Machine Learning Engineer to develop and deploy forecasting models for energy prices, consumption and solar production within our EMS. You will build optimization algorithms to steer batteries and take models to production using real-time data.

You will collaborate with data engineers and backend teams, write clean, tested Python code and continuously improve models. A hybrid work setup in Gistel is offered with a competitive salary and comprehensive benefits.

Qualifications

• You have experience with machine learning in Python (e.g. PyTorch, scikit-learn).
• Knowledge of forecasting, time series or mathematical optimisation.
• Experience with MLOps and taking models to production is a strong plus.
• You write clean, tested code and think in measurable results.
• An interest in energy or sustainability is a bonus.

Responsabilités

• Develop and train forecasting models for energy prices, consumption and solar production.
• Build optimisation algorithms that steer batteries intelligently, from arbitrage to peak shaving.
• Take models to production and run them reliably on real-time data.
• Continuously evaluate, monitor and improve models.
• Work closely with data engineers and backend to integrate models seamlessly.

Connaissances

Python

PyTorch

scikit-learn

Forecasting

Time series

MLOps

Outils

Git

Docker

Description du poste

At Voltmasters our Energy Management System (EMS) makes decisions every second: when a battery charges or discharges, how we flatten peaks and when we trade energy. Behind those decisions sits AI. As a Machine Learning Engineer you build the models that make energy genuinely smarter.

You get access to a wealth of real-time data and the freedom to take models from experiment to production, with direct impact on our customers' energy bills.

What you will do

• Develop and train forecasting models for energy prices, consumption and solar production.
• Build optimisation algorithms that steer batteries intelligently, from arbitrage to peak shaving.
• Take models to production and run them reliably on real-time data.
• Continuously evaluate, monitor and improve models.
• Work closely with data engineers and backend to integrate models seamlessly.

What we expect

• You have experience with machine learning in Python (e.g. PyTorch, scikit-learn).
• Knowledge of forecasting, time series or mathematical optimisation.
• Experience with MLOps and taking models to production is a strong plus.
• You write clean, tested code and think in measurable results.
• An interest in energy or sustainability is a bonus.

What we offer

At Voltmasters we believe that strong people make the difference. That is why we offer an environment in which you can grow, build and learn.

• A full-time role in a stimulating environment.
• A competitive salary package with tailored benefits (such as an internet allowance, meal and eco vouchers).
• Health insurance.
• An Apple laptop with a second screen, and a recent iPhone or Android smartphone.
• A noise-cancelling headset to stay in your flow.
• All the software you need to do your job well.

Personal development

At Voltmasters there is a strong mindset of continuous growth. Standing still is moving backwards. We encourage everyone to keep learning, experimenting and sharing knowledge.

• Stay current: every week we set aside time to explore or experiment with new technologies.
• Learning budget: each year you get an extra budget of €2,000 to invest in personal growth, for books, training or conferences.
• A healthy balance: we aim for a good work-life balance. No overtime, but flexibility and room to recharge.
• Learning together: we share knowledge through internal sessions, reviews and team lunches.
• Autonomy and trust: you get the freedom to learn and grow at your own pace, within a team that strengthens each other.

Extras that will quickly feel familiar

• Hybrid working: work from home or from our office space in Gistel.
• Freedom and trust: few rules, lots of responsibility.
• Small teams, big impact: direct influence on product decisions.
• Flat structure: no layers of management, just people working together.
• Daily lunches together and the occasional afterwork.
• Unlimited drinks and fruit at the office.

We are still small enough to be flexible, but big enough to make an impact.