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Machine Learning Engineer - Subscriptions

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About the employer

SpotifyPosted on the employer’s careers page · jobs.lever.coLicensed sponsor (UK) — employer-level; what this means

Working in United Kingdom

Possible country route: Skilled Worker. A licensed sponsor, certificate of sponsorship and an eligible role are needed. Salary and English requirements depend on the application.

Outside the UK: usually 3 weeks after submitting the application, identity and documents. Sponsor preparation and appointments are additional.

What to check before applying
  1. Verify the sponsor. Confirm the employer can issue a certificate of sponsorship for this role.
  2. Check current requirements. Use GOV.UK for the salary, English, fees and maintenance rules.
  3. Complete the application. Prepare documents and the identity check; do not book relocation against a guaranteed date.
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Reviewed 2026-10-14. Country routes are context, not a confirmation that this vacancy or your passport qualifies.


Description (EN)

At Spotify, our Subscriptions Mission focuses on creating experiences that help listeners discover the value of Spotify, become subscribers, and stay with us for the long term. By combining technology, experimentation, and a deep understanding of our users, we help connect artists and fans while building a sustainable subscription business.

Within the Subscriptions Mission, the Subs Foundational Models Product Area is part of the Subs User Understanding Studio. We build scalable machine learning solutions that personalize the subscriber journey, from conversion through to long-term retention. Working closely with teams across the mission, we develop ML solutions that improve key business metrics, including subscriber growth, monthly active users, and Premium retention.

We're looking for a Machine Learning Engineer to join our Radius squad. You'll take ownership of impactful ML initiatives, develop and improve production models, and contribute to the foundational ML capabilities that power personalization and optimization across Subscriptions.

Your work could include reducing friction for Free users while balancing retention and conversion, improving payment experiences to reduce Premium churn, or developing reusable models such as subscriber embeddings that support multiple products and use cases.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
 
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Published 5 days ago

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