Machine Learning Engineer

• Develop and deploy ML models for energy forecasting, carbon analytics, predictive maintenance, optimisation, and sustainability reporting.
• Build AI solutions using machine learning and Generative AI to automate environmental insights and decision-making.
• Design data pipelines for IoT, sensor, energy, weather, and operational datasets.
• Develop AI applications that improve energy efficiency, resource management, and operational sustainability.
• Deploy and monitor production-ready ML solutions on AWS, Azure, or GCP.

• 2-8 years of experience in Machine Learning, AI Engineering, or Data Science.
• Strong Python skills and experience deploying ML models into production.
• Experience with deep learning, predictive analytics, time-series forecasting, LLMs, or optimisation.
• Familiarity with cloud platforms, Docker, Kubernetes, and MLOps.
• Experience in ClimateTech, Energy, Utilities, Sustainability, IoT, or Industrial AI is a plus.

The Offer

• Hybrid working with offices in the Ghent region.
• Salary up to €6,000/month plus company car or mobility budget.
• 13+ ADV days.
• Clear progression to Senior ML Engineer, AI Lead, or AI Architect.
• Work on cutting-edge AI solutions tackling real-world climate and sustainability challenges.