Production ML Engineer for Energy Trading & Data Pipelines

Copenhagen Energy Trading; København; On-site; DKK 700,000 - 1,100,000; Full time

Benefits offered by this job

Central Copenhagen office

Competitive salary

Growth opportunities

Team events

Job summary

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.

Qualifications

• Strong Python and software engineering skills.
• Experience with MLOps, Git, CI/CD and monitoring.
• Cloud experience with Azure, AWS, or GCP.
• Excellent communication and English proficiency.
• Degree in Computer Science or Software Engineering.
• Interest in energy markets is a plus.

Responsibilities

• Strengthen ML framework and production-ready software.
• Develop data infrastructure and pipelines for ingesting, transforming, and serving data.
• Deploy, monitor, and maintain ML models in production.
• Collaborate with researchers, traders and engineers to turn business needs into practical ML solutions.
• Shape technical solutions and contribute to MLOps practices and tooling.

Skills

Python

MLOps

CI/CD

Experiment tracking

English proficiency

Education

CS/Software Engineering degree

Tools

Azure

AWS

GCP

Git

Job description

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.