Machine Learning Engineer

Vivid Resourcing – Ghent, Belgium (Hybrid)

We’re partnering with a leading company in the renewable energy sector, looking for a Machine Learning Engineer to help build intelligent systems that optimize real-time operations and forecasting. You’ll join a dynamic analytics and technology team, and take part in shaping the next generation of data-driven decision-making tools in the energy market.

You’ll play a key role in designing, developing, and deploying ML models that leverage large-scale datasets, including operational data, energy usage metrics, and external sources such as weather feeds and market trends.

Responsibilities

• Design and implement scalable machine learning pipelines for real-time and batch inference.
• Build models for predictive maintenance, demand forecasting, energy optimization, and anomaly detection.
• Work with Data Engineers to ensure smooth ingestion and preprocessing of data from internal and external APIs.
• Collaborate with stakeholders to define use cases and measure model performance in production.
• Continuously monitor and improve deployed ML models to maintain high performance and reliability.
• Support data visualization and reporting teams with ML insights integrated into tools like Grafana or Amazon QuickSight.

Your Profile

• Strong experience with AWS, especially in ML-related services (e.g., SageMaker, Lambda, S3).
• Hands-on expertise in Python and machine learning libraries (e.g., Scikit-learn, XGBoost, TensorFlow or PyTorch).
• Proven experience developing and deploying ML models into production.
• Solid understanding of feature engineering, model validation, and MLOps best practices.
• Degree in Computer Science, Data Science, or a related field.
• Interest or background in the energy or commodities sector is a strong advantage.

The Offer

• Opportunity to work on impactful ML projects in a high-growth industry.
• Clear path toward Lead ML Engineer as the company expands its data science capabilities.
• Up to €5.500/month for highly experienced candidates, depending on interview performance.
• Full benefits package including company car or mobility budget.
• 12 ADV days on top of standard holidays.
• Work from a new office in Ghent, with up to 4 remote days/week.

Interested? Apply today or send your CV and cover letter to [email protected]