Senior Machine Learning Engineer – Personalization

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  • Spotify
  • London, Greater London
  • 2 weeks ago
Spotify
Published
March 18, 2026
Location
London, United Kingdom
Category
Job Type

Job Description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

The Personalization (PZN) team is at the heart of how Spotify connects listeners with the content they love. Every day, hundreds of millions of people rely on the experiences we build, from Home and Search to Made For You and Discover Weekly.

Surfaces-NPV is an EU-based squad within the Surfaces Recommendations product area. We own recommendation quality on the Now Playing View, one of Spotify’s most personal and high-impact surfaces, and drive the introduction of new content verticals. We’re a small, senior-heavy team that values craft, autonomy, and shipping. We use AI coding tools such as Claude Code, experiment constantly, and believe the best ML engineers understand the full stack from user need to production system.

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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Python SQL ETL AWS Apache Spark Airflow Machine Learning ML

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