Production ML Engineer for Energy Trading & Data Pipelines
Posted
Summary
Machine learning engineer at Copenhagen Energy Trading who takes models from research to production — building scalable data pipelines and robust software across the full ML lifecycle (data management, deployment, monitoring, experiment tracking) to power automated trading decisions in energy markets.
Copenhagen Energy Trading is seeking a Machine Learning Engineer to move models from research to production, building scalable pipelines and robust software that powers our trading decisions.
You will own the full lifecycle—from data management to deployment, monitoring and experiment tracking—collaborating with quantitative researchers, software engineers and traders to deliver reliable, automated ML solutions for energy markets.