Machine Learning Engineer

The Role

You will be working within an innovative energy technology company that builds intelligent AI-driven solutions with the aim of improving energy efficiency, grid performance, and operational reliability. They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions for real-world energy and infrastructure challenges.

What You’ll Be Doing

• Develop and deploy machine learning models for energy-focused applications such as load forecasting, predictive maintenance, energy optimization, smart grid analytics, anomaly detection, and consumption forecasting
• Create scalable ML infrastructure and pipelines for training, evaluation, monitoring, and real-time model serving across energy and industrial platforms
• Design data preprocessing and feature engineering workflows for complex datasets including smart meter, IoT, sensor, geospatial, and time-series data
• Help build intelligent monitoring and optimization systems leveraging technologies such as connected infrastructure, edge computing, renewable energy systems, and live sensor networks
• Contribute to data-driven solutions that improve operational efficiency, optimize energy usage, reduce costs, and support the transition toward sustainable energy systems

What They’re Looking For

• 2–6+ years of experience in Machine Learning Engineering or similar AI-focused roles
• Strong proficiency in Python
• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Track record of building, deploying, and maintaining ML systems in production
• Experience working with energy, utilities, industrial, IoT, mobility, or time-series datasets is considered a strong plus
• Understanding of data engineering practices including ETL/ELT pipelines, streaming systems, and large-scale data processing
• Experience with cloud infrastructure such as AWS, Azure, or GCP
• Interest in applying AI to energy systems, smart infrastructure, renewable technologies, or operational optimization challenges

What’s on xbpgvfh Offer

• Hybrid working model
• Opportunity to contribute to cutting-edge energy technology solutions with tangible real-world impact
• Collaborative environment with a strong emphasis on innovation, experimentation, and applied AI
• Competitive salary package up to €6,000/month depending on experience
• Company car or flexible mobility budget
• 13+ additional ADV leave days
• Clear career progression opportunities toward senior and leadership roles
• Mission-driven culture focused on building technology that supports the future of energy and sustainability

If this opportunity excites you, apply today or send your CV and a short cover letter to .