Machine Learning Engineer

Listed as a remote role based in Leuven, Flemish Region, Belgium. Join a forward-thinking ClimateTech company leveraging AI to solve real-world sustainability challenges. You'll build machine learning solutions that improve energy efficiency, optimise resource usage, reduce carbon emissions, and turn complex environmental data into meaningful insights. Responsibilities 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. Your Profile 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. Interested? Apply today or send your CV and a short cover letter to ryan.martin@vividresourcing.com . Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Data Infrastructure and Analytics