Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
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.
Were looking for the best people to join us on our journey. Right now were 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 aSenior Machine Learning EngineeratViaplay 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 youll lead the design and deployment of cutting-edge ML systems that directly impact millions of users.
Your work will extend beyond model development youll serve as 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 foundational to Viaplays continued growth and innovation.
Youll join a high-performing inclusive and curious team of ML Engineers Data Scientists Analysts and Data Engineers. Together we foster a culture of experimentation shared ownership and technical excellence. Our recommender system is already powering engaging user experiences and this is only the beginning of our machine learning journey.
What Youll 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 lead end-to-end machine learning projects from ideation and stakeholder alignment to development deployment and post-launch evaluation
- Lead Data scientist/Machine learning engineer forum
What were looking for
We understand you may feel confident ticking certain boxes more than others and thats why we always keep an open mind in our recruitment process. But in order to thrive in this role we do believe youll have at least some experience in the following:
- Proven experience leading machine learning projects end-to-end from problem definition and stakeholder alignment to deployment and performance monitoring in production
- 7 years of hands-on experience in applied Machine Learning or Data Science within production environments
- Deep understanding of statistical modeling machine learning algorithms and their real-world applications
- Advanced programming skills in Python along with solid experience in SQL and Apache Spark
- Solid experience deploying ML models in cloud environments (preferably AWS) using containerization tools like Docker
- Familiarity with orchestration tools such as Airflow enabling reliable ML pipeline execution and monitoring
- Strong communication skills with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to build ML systems that are scalable robust and explainable not just performant in isolation.
- Comfortable working in cross-functional agile teams where priorities shift quickly and collaboration is key
- Strong academic background in Statistics Mathematics Computer Science or another quantitative field
Its a bonus if you have:
- Experience working on recommender systems personalization or content optimization ideally in media streaming or e-commerce domains
- Familiarity with MLOps practices including CI/CD for ML model monitoring and observability in production
- Knowledge of experimentation platforms (e.g. A/B testing infrastructure) and causal inference techniques
- Exposure to real-time or near-real-time ML architectures and streaming data systems
What we offer you
- Weve 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 drivers 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 dont send us your application via email because we wont 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! Were only ever a few clicks away.
Employment Type
Full Time
