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 someone with extensive experience as a Machine Learning Engineer or Data Scientist to join our team in the Stockholm office – are you ready to hit play on an exciting career change? 

The Role 

As a Senior Machine Learning Engineer at Viaplay, you will play a key role in shaping the future of our data-driven products and services. Operating at the intersection of personalization, customer engagement, and operational intelligence, you'll lead the design and deployment of cutting-edge ML systems that directly impact millions of users.

Your work will extend beyond model development, you'll be a strategic partner to stakeholders across product, tech, and commercial teams, translating business objectives into scalable ML solutions. From enhancing recommendation engines to unlocking deep user insights and enabling smarter decision-making across the organization, your contributions will be central to Viaplay’s continued growth and innovation.

You’ll join a high-performing, inclusive, and curious team of ML Engineers, Data Scientists, Analysts, and Data Engineers. Together, we foster a culture of experimentation, knowledge-sharing, and technical excellence. Our recommender system is already powering engaging user experiences, and this is only the beginning of our machine learning journey.

What You’ll Be Doing

• Design, develop, and deploy scalable machine learning models for recommendation, prediction, and classification tasks 
• Perform advanced statistical analyses to uncover trends in user behavior, content performance, and platform usage
• Translate business challenges into structured machine learning problems and deliver measurable solutions
• Collaborate cross-functionally with product, engineering, content, commercial, and marketing teams to drive strategic, data-informed decisions
• Build robust, production-ready pipelines and monitor ML systems in a cloud-native environment
• Contribute to a culture of experimentation, innovation, and continuous learning within the data team
• Take ownership and drive end-to-end machine learning projects, from ideation and stakeholder alignment to development, deployment, and post-launch evaluation
• Facilitate Data scientist/Machine learning engineer forums to share best practices and ideas

What we’re looking for 

We’re looking for someone who is passionate about creating real-world impact through machine learning and thrives in a collaborative environment. You don’t have to tick every single box, if you have relevant experience and are eager to learn and grow, we’d love to hear from you. 

Desired skills: 

• Experience working on machine learning projects end-to-end, from problem definition and stakeholder alignment to deployment and performance monitoring in production 
• 5+ years of hands-on experience in applied Machine Learning or Data Science within production environments
• Familiarity with orchestration tools such as Airflow, enabling reliable ML pipeline execution and monitoring
• Strong communication and collaboration skills, you enjoy working with cross-functional teams and can explain technical ideas clearly to different audiences
• A focus on building ML systems that are not just performant, but also reliable, transparent, and maintainable
• Comfortable working in an agile team where priorities evolve and learning is ongoing
• Background in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or equivalent practical experience)

It’s a bonus if you have: 

• Experience with recommender systems, content optimization, or personalization
• Familiarity with A/B testing platforms or causal inference techniques
• Knowledge of MLOps practices like CI/CD for ML, monitoring, and observability
• Exposure to real-time or near-real-time ML architectures and streaming data systems
• Experience in media, streaming, or e-commerce environments

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.