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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 Machine Learning Engineer in our Stockholm office – are you ready to hit play on an exciting career change?
The role
As a Machine Learning Engineer in Viaplay’s Data Science group, you will play a crucial role in developing and deploying state-of-the-art ML solutions that drive customer insights and market intelligence, ultimately informing strategic decisions and enhancing the value of our products and platforms. You will work in an empathic and supportive team with other Machine Learning Engineers, Data Scientists and Software Engineers who share knowledge and experience in researching and developing data products.
In our toolkit, we already have an ML-powered recommendation system that is highly appreciated by our users. We are now at the beginning of our journey to deliver what the very best machine learning techniques can offer to the wider organization.
Some Of Your Daily Tasks Will Include
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:
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.
We’re looking for the best people to join us on our journey. Right now, we’re searching for a Machine Learning Engineer in our Stockholm office – are you ready to hit play on an exciting career change?
The role
As a Machine Learning Engineer in Viaplay’s Data Science group, you will play a crucial role in developing and deploying state-of-the-art ML solutions that drive customer insights and market intelligence, ultimately informing strategic decisions and enhancing the value of our products and platforms. You will work in an empathic and supportive team with other Machine Learning Engineers, Data Scientists and Software Engineers who share knowledge and experience in researching and developing data products.
In our toolkit, we already have an ML-powered recommendation system that is highly appreciated by our users. We are now at the beginning of our journey to deliver what the very best machine learning techniques can offer to the wider organization.
Some Of Your Daily Tasks Will Include
- Build, train, and deploy machine learning models
- Optimize models for performance and accuracy, and ensure they are production ready
- Conducting analyses to identify trends and patterns related to user behaviour and content consumption
- Build predictive insights, recommendations, and forecasting capabilities for our ML platform using advanced algorithms, frameworks, and libraries
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:
- 2+ years of professional experience in a Machine Learning Engineer role or similar
- Strong grasp of statistical modelling and machine learning techniques, with both theoretical and practical expertise
- Proficiency in Python and SQL, experience with data transformation using Spark
- Familiarity with scalable model deployment, data pipelines, and the complete model lifecycle
- Excellent analytical thinking and problem-solving abilities
- Strong communication skills, with the ability to effectively collaborate with both technical and non-technical stakeholders and translate business needs into data-driven solutions
- Knowledge of containerizing ML models in a cloud environment such as AWS
- 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.
- 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.
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.
Key Skills
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ha
ai
machine learning
wan
ui
eop
python
scala
cloud
excel
spark
git
sql
aws
sla
cis
pan
toc
ats
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- Posted
- Dec 12, 2024
- Type
- Full-time
- Level
- Not Applicable
- Location
- Stockholm
- Company
- Viaplay Group
Industries
Entertainment Providers
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Machine Learning Algorithm Research Engineer
2026-05-26
Full-time
Not Applicable
Singapore
Entertainment Providers
Engineering
View Job Details
Related
Senior Machine Learning Engineer , Optimisation (Gurobi)
2026-05-22
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Engineering
View Job Details
Related
Fullstack Developer
2026-05-26
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