Staff Machine Learning Engineer - Safety & Policy

Spotify

London, UKhybridPosted May 6, 2026
Posting intelligenceMay be filled, listed long ago

At a glance

Why this role might suit you

The role offers impact on global safety systems, collaboration with cross-functional teams, and work on cutting-edge content moderation technologies.

Skills

machine-learningcontent-moderation

About the role

We design Spotify’s consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.

About the Team The Policy & Safety team sits within the Content Platform domain and builds the systems that keep Spotify safe and trustworthy at scale. We own the infrastructure behind content moderation, including detection models, policy enforcement systems, compliance pipelines, and the safety-by-default platform.

Our work is critical to every new content type and product experience—from messaging and comments to collaborative and emerging AI-driven features. We partner closely with Trust & Safety, Legal, and Public Affairs to ensure that safety is built into Spotify experiences from the start.

Questions about this role

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Compensation for Machine Learning Engineer roles in United Kingdom varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United Kingdom medians across recent openings.

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