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.
