Machine Learning Engineer

Role Overview

As a Machine Learning Engineer at Viaplay, you will play a pivotal role in shaping the next generation of our data-driven products and services. Working at the intersection of personalization, customer engagement, and operational intelligence, you’ll design and deploy state-of-the-art ML systems that directly impact millions of users across our platform.

What You Will Do

Design, develop, and deploy scalable machine learning models for recommendation, prediction, and classification use cases. Own and lead end-to-end ML initiatives, from ideation and stakeholder alignment to development, deployment, and ongoing performance evaluation.

Why It Might Be a Fit

We're seeking someone who combines technical depth with strategic thinking and a curious, problem-solving mindset. You'll have the opportunity to work with a high-performing, inclusive, and curious team of ML Engineers, Data Scientists, Analysts, and Data Engineers.

Requirements

• Proven experience leading ML projects end-to-end, from problem definition and stakeholder alignment to deployment and monitoring in production.
• Expertise in one or more ML domains such as LLMs, NLP, recommendation systems, or reinforcement learning.
• Ability to build ML solutions that are scalable, robust, and explainable, not just performant in isolation.
• Strong experience deploying ML models in cloud environments (preferably AWS) and using containerization tools like Docker.
• Familiarity with orchestration tools such as Airflow for reliable ML pipeline execution and monitoring
• Solid software engineering fundamentals.
• 5+ years of hands-on experience in applied Machine Learning within production environments.
• Strong academic background in Statistics, Mathematics, Computer Science, or a related quantitative field.

Benefits

• 30 days of paid vacation every year
• attractive pension and insurance scheme
• generous parental leave pay lift
• wellness allowance
• unlimited access to Viaplay