- Company: Spotify
- Location: London, United Kingdom
- Job type: Permanent
✅ Visa sponsor check: Spotify Limited (London) is on the UK Home Office register of licensed sponsors for Global Business Mobility: Senior or Specialist Worker, Skilled Worker (A rating), checked 26 October 2026. Being a licensed sponsor doesn’t guarantee sponsorship for this role: confirm it with the employer, and never pay anyone for a Certificate of Sponsorship.
About the role
Join Spotify’s Subscriptions Mission to help listeners discover the value of the platform and stay subscribed long-term. As a Machine Learning Engineer on the Radius squad, you will develop scalable solutions that personalize the subscriber journey from conversion to retention. You will work within the Subs User Understanding Studio, contributing to foundational ML capabilities that improve key business metrics such as subscriber growth and Premium retention.
Responsibilities
- Lead multi-week ML initiatives from business requirements to shipping models and measuring impact.
- Own components of ML systems, ensuring they are observable, reliable, and well-documented.
- Collaborate with user research, design, data science, and product management to build new features.
- Prototype new approaches and productionise solutions for hundreds of millions of active users.
- Drive optimisation, testing, and tooling to improve quality and squad velocity.
- Use AI-assisted engineering to increase efficiency while maintaining high quality standards.
Requirements
- Experience building and shipping production ML systems.
- Strong background in machine learning theory and practice.
- Hands-on experience with Python, Scala, or similar languages, including PyTorch.
- Experience building data pipelines and self-sufficiency in data acquisition.
- Ability to explain ML concepts and technical decisions clearly to stakeholders.
- Preferred experience with cloud platforms like GCP or AWS.
- Commitment to agile software processes, reliability, and focused experimentation.
Pay and benefits
Spotify offers the flexibility to work where you work best within the EMEA region, provided there is a valid work location. The team operates within the Central European and GMT time zones for collaboration. Spotify is an equal opportunity employer committed to inclusivity and accessibility in the recruitment process.
How to apply
Apply directly on Spotify’s own careers website. Omadaily never charges job seekers.
