Shape the Future of Energy with Machine Learning!
As a Senior Machine Learning Engineer, you will play a pivotal role in transforming how we optimise power generation through data-driven solutions. You’ll join our Generation Data Intelligence team, working hand-in-hand with domain experts and plant operators to tackle the unique challenges of electricity production.

What you’ll do

You design, develop, and deploy machine learning models that predict failures, optimise maintenance, and boost energy output.
You implement MLOps best practices, ensuring robust monitoring, testing, and sustainable deployment pipelines.
You collaborate with engineers, operators, and domain experts to deliver impactful solutions for daily operations.
You work closely with the IT NEO Data Platform team to standardise ML workflows and leverage shared Python packages.
You transform raw operational data into structured, reusable insights aligned with Data Governance principles.
You explore emerging technologies and innovative approaches, such as multi-agent reinforcement learning, to drive optimisation.

What you bring

You have a strong interest in the energy sector and a deep understanding of electricity production challenges.
You bring 5+ years of experience industrialising machine learning products from concept to production.
You are fluent in English and Dutch or French, enabling smooth collaboration in multilingual environments.
You are skilled in AWS services (S3, Glue, Athena, SageMaker) and Python for data science and ML.
You have experience with ML frameworks like Scikit-learn, XGBoost, PyOD, and Darts, plus DevOps tools (Git, CI/CD, Docker).
Bonus points for expertise in time series anomaly detection, AI-assisted coding, RAG systems, and historians such as Aveva OSIsoft PI.

What You’ll get in return

The energy sector is one of the most rewarding industries in Belgium with a highly rewarding compensation and benefits package:
Competitive compensation: Attractive salary with a performance-based bonus that can be optimized to your personal preferences, plus meal vouchers.
Insurance & social benefits: Group insurance and hospitalization coverage for the entire family. Additional reimbursement for healthcare and pharmaceutical costs.
Mobility: company car or mobility budget.
Internet & communication: Home internet covered, reimbursement for a personal mobile device with a phone subscription.
Home Office: A fully-equipped home office, including an ergonomical ICT set-up.
Exclusive discounts: 30% off gas and electricity after six months, discounts on energy-saving services (e.g., solar panels, heat pumps) and reduced prices on top brands, amusement parks, festivals and more.

Why join us

You join a collaborative, forward-thinking team at the heart of the energy transition.
You work and connect with your colleagues at a Luminus office or from home. Need some flexibility? Your manager is open to discuss what works.

Luminus values e.v.e.r.y individual.

Are you looking for a workplace where you can truly be yourself, where you feel respected, supported regardless of your background, identity and unique story? Then you’ve come to the right place. Diversity equity and inclusion are not empty words for us — we grant that everyone can flourish and feel valued, so let’s build it together!

What does that mean in practice?

Do you have specific needs or require adjustments during the recruitment process or once you are hired? Let’s discuss about it and we’ll do our best to find a solution. We can also discuss if you want to work at 80% or 100%.

Together we make the difference

Generation Machine Learning Engineer

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