Jobs at Electricity Maps

ML Ops Engineer

Electricity Maps is organizing the world’s electricity data to drive the transition towards a truly decarbonized electricity system. Join us to help us achieve our ambitious mission!


  • Electricity Maps is looking for an ML Ops Engineer to help us build out our energy forecasting capabilities.
  • We’re a growing team of passionate and well-intentioned people. Our culture is built on autonomy and trust. 
  • Electricity Maps provides a sustainable and flexible work environment. We believe in deep work (Tuesdays and Thursdays are meeting free, work from home days), and that we can grow and have fun by building great things together.
  • Your personality and breadth of experience mean more than years of experience. Electricity Maps offers continuous growth opportunities, and the way we work ensures that everybody has the opportunity to work on novel problems.
  • We offer great benefits in Copenhagen, one of the most liveable cities in the world.

About the role

An increasing number of organizations across the world rely on Electricity Maps to provide data and insights. It is crucial for us to provide accurate data for all hours of the year and to accurately predict future energy production mixes across the globe. Your job will be to enable this by:

  • Contributing to the development of an end-to-end modeling pipeline running on cloud services.
  • Automating and optimizing existing modeling pipelines to help deliver machine learning products more effectively. 
  • Participating in all phases of machine learning operations, from design through to deployment and operation.
  • Improving testing, monitoring, and tooling for building ML pipelines. Ultimately we would like to automate as much of the pipeline as possible.
  • Building infrastructure to handle a growing number of energy forecast models and geographic zones.
  • Collaborating with our data scientists and engineers, as well as with our open-source community, to guarantee pristine data quality.

About you

We’re looking for an empathetic, purpose-driven ML Ops engineer who is comfortable working on complex problems. You are excited about the opportunity to help people around the world understand and reduce their carbon emissions. We prioritize your ability to deliver great work; we do not expect you to be an expert in the specific technologies we currently use.

As the ideal future teammate, you

  • Are comfortable deploying machine learning models into a cloud-based infrastructure that processes large volumes of data. 
  • Have experience with a major cloud provider (AWS, GCP, Azure) and data storage and processing technologies.
  • Have some experience building ML infrastructure using standard tools like MLflow or Terraform.
  • Value automation and optimization.
  • Thrive in an environment that provides autonomy, that supports your individual growth with interesting tasks, and that involves you in defining your role as you grow.
  • Like working in a cross-functional team with talented people with different backgrounds and levels of experience.

Compensation & Benefits

  • Salary: 47 000 - 65 000 DKK per month, depending on experience.
  • Warrants scheme.
  • 6 weeks of paid holidays.
  • Paid lunch when working from the office.
  • Health insurance and insurance covering loss of ability to work.
  • Parental leave.

We sponsor VISAs for non-EU residents.

Applications will be reviewed on a rolling basis. We can’t wait to hear from you!

Electricity Maps is committed to creating a diverse environment and is proud to be an equal opportunity employer. You are welcome at Electricity Maps for who you are, no matter your background or appearance. We believe that our differences help us find solutions to the biggest issues of our time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

ML Ops Engineer

Max file size 10MB.
Upload failed. Max size for files is 10 MB.
Thank you for your application!
Your submission has been received.
Oops! Something went wrong while submitting the form.