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Viaplay Group Stockholm Heltid

Machine Learning Engineer

About the job

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, TV channels and production studios. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.

We may have started in the Nordics, but we have a global mindset and consider ourselves to be the international entertainment provider. This means we’re constantly launching our Viaplay streaming service in new markets and on the lookout for talented, curious, driven professionals to join us on our journey.

Right now, we’re searching for a Machine Learning Engineer to the Applied Machine Learning team in our Stockholm office.

The role

As a ML Engineer you will bring to life recommender systems and other intelligent services that personalize and enhance the experience on our video on demand (VOD) streaming service Viaplay. 

You will work in an empathic and supportive team with other Data Scientists and Machine Learning Engineers who share knowledge and experience in researching and developing data products. You love seeing things go into production and love the idea of seeing on-point recommendations produced by algorithms. You enjoy prototyping new data applications and work with teammates to bring projects onto all parts of our streaming service. You believe that maintaining models is a must in the data product development lifecycle.

You will be able to use and develop your machine learning and engineering competence on massive amounts of data from Viaplay’s Data Lake, containing everything from customer and viewing behavior to every detail about our movie, television, and sports content. As a ML Engineer you will play a key role to move data products to production, making it easier for customers to find the content they love and make the streaming service more intelligent. You will also help maintain ML systems so that the personalized experience continues to be personalized.

Our technology stack offers great opportunities to showcase and develop your data science skills. You will work on AWS for computation and storage, using Python and Spark to breathe life to cloud-based data products.


What we’re looking for

We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:

  • Strong communicator and listener.
  • Affinity towards teaming up with other curious minds to tackle mathematical and engineering challenges.
  • Academic degree in Statistics, Mathematics, Computer Science or equivalent.
  • Have 2+ years working experience creating production-grade machine learning solutions for product problems.
  • Solid understanding of various machine learning techniques, both theoretical and practical.
  • High Competence in Python and SQL, transforming data with Spark is a plus.
  • Knowledge of containerizing ML models in a cloud environment such as AWS.


Our offering

  • We’ve got the basics covered! 30 days of paid vacation every year, flexible work arrangements and extra compensation on top of a parental pay lift.
  • Your wellbeing matters. We have an attractive pension and insurance scheme with full health care coverage should you need it.
  • A safe space to grow and up-skill with the freedom to try new things in autonomous teams. Our learning culture puts you in the driver’s seat of your own development, while always making sure you feel supported with regular knowledge-sharing sessions, technical training, mentorship opportunities and peer-to-peer networks.
  • An innovative environment with Hack Days, not once, but twice a year. This week-long initiative allows you to think outside the box and deliver creative, technical solutions that (more often than not) go on to be implemented, either in our product or our ways of working.
  • A genuinely international and diverse group of colleagues to connect with. We’re striving towards a 50:50 gender balance & we’re not far off – plus last time we checked, we have more than 60 different nationalities across our nine offices!
  • Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including live sports & pay per view events, new release movie rentals, linear channels and more.


Hit play today

If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.

Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.

  • Perk: New technologies New technologies
  • Perk: Team work Team work
  • Perk: Hackathon Hackathon
  • Perk: Wellbeing allowance Wellbeing allowance
  • Perk: Competent and fun colleagues Competent and fun colleagues
  • Perk: Parental leave premium Parental leave premium
Who are we

Streaming services, radio networks, TV and production companies. It's our mission to create compelling stories that reach beyond media outlets and touch people's lives.

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