Student Machine Learning Engineer
MFT Energy specializes in power and gas trading. We are fast growing and on a mission to empower entrepreneurs to become the best.
Apply now!
Join a world of energy as MFT Energy's new Student Machine Learning Engineer
At MFT Energy, we are at the forefront of energy trading, driving market efficiency, and facilitating the green transition. We are seeking a talented student machine learning engineer to join our ambitious Intraday team trading European power. Collaborate with experienced professionals, who are dedicated to excellence every day.
About the role
As a Student Machine Learning Engineer, you will play a pivotal role in our dynamic Intraday team. You will work alongside highly skilled quantitative analysts, machine-learning experts, execution-algo developers, system developers, and traders.
Your work will directly influence our critical frameworks, positioning you at the heart of our operations. You will be instrumental in ensuring that the data flows continuously, the frameworks are robust, and general systems are always running. Over time, your responsibilities will grow as we believe in responsibility being a key driver for your success.
Your key responsibilities
Your qualifications and personal skills
Above all, we cherish passion and creativity. If yo have made hobby projects, feel free to share them.
Working in MFT Energy
You will be part of a young, global, and vibrant working environment in the heart of Aarhus. MFT Energy is a transparent and flat organization with entrepreneurship at heart. We are more than 190 employees working out of our headquarters in Scandinavian Center in Aarhus C and from our international offices in Türkiye, Australia, New York City, and Singapore, and several remote colleagues working from all over the world. Our mission is to empower entrepreneurs to become the best—we believe that this is done via a fair organizational structure, with the most competent people, based on the right values.
We offer:
Make the Most of Your Talent! Join us!
If you believe there is a fit between our values and your aspirations, we look forward to receiving your application, accompanied by a CV, a short cover letter, and your transcript. For questions, please contact career@mft-energy.com.
Deadline: As soon as possible.
Start date: Flexible.
We will be screening candidates on an ongoing basis.
Department
Technology
Locations
Aarhus, Denmark
Employment type
Part-time
Student Machine Learning Engineer · Aarhus, Denmark
MFT Energy A/S, Aarhus,
Student Machine Learning Engineer
MFT Energy, Aarhus, Central Denmark Region