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

We’re looking for the best people to join us on our journey. Right now, we’re searching for a ML Engineer in our Stockholm office – are you ready to hit play on an exciting career change? 

The Role 

We’re looking for a ML Engineer who’s excited about using data and technology to shape how millions of people experience entertainment. At Viaplay, our ML team works at the heart of personalization, customer engagement, and product innovation.

In this role, you’ll contribute to building and improving the machine learning models and systems that power our platform. You’ll collaborate closely with engineers, data scientists, and product teams to bring ideas to life — from recommending the right content to understanding our users better. This is a great opportunity if you enjoy problem-solving, learning, and making a real impact in a supportive, collaborative environment.

What You’ll Be Doing

• Design, train, and deploy machine learning models for recommendations, predictions, and classifications
• Collaborate with product, engineering, content, commercial, marketing to turn business needs into ML-powered solutions
• Build and maintain reliable ML pipelines in a modern, cloud-based environment
• Monitor and evaluate models to ensure they perform well and fairly in production
• Share knowledge, learn from others, and contribute to a culture of experimentation and curiosity

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: 

• 3+ years of hands-on experience applying ML or Data Science in a production setting
• Experience working on projects end-to-end: defining problems, prototyping, deploying, and monitoring
• Proficiency in Python and SQL, experience with data transformation using Spark
• Knowledge of data pipeline orchestration tools such as Airflow (or similar)
• Clear communication skills, you can explain complex topics in a way others understand
• A focus on building ML systems that are reliable, understandable, and sustainable
• A background in Computer Science, Statistics, Mathematics, or equivalent practical experience

It’s a bonus if you have: 

• Experience with recommender systems or personalization
• Familiarity with A/B testing or causal inference
• Knowledge of MLOps practices (CI/CD for ML, monitoring, observability)
• Experience in media, streaming, or e-commerce

What we offer you 

• We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift. 
• Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance. 
• Flexibility that works. We follow a hybrid model with three days a week in the office and the rest remote, giving you the best of collaboration and focus time.
• A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development.
• An innovative environment with Hack Days once 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. 
• 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 serier & viewing 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.