29d ago

Senior Machine Learning Engineering Manager - Content Platform

United KingdomUnited Kingdom·LondonPermanentsenior
EngineeringOtherEngineering ManagerMachine Learning Engineering Manager
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Quick Summary

Overview

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,

Technical Tools
EngineeringOtherEngineering ManagerMachine Learning Engineering Manager

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.

You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while staying deep in content understanding (audio, video and text). This is a player-coach role with a strong strategic remit: you'll shape where the group goes next, grow our audio understanding expertise over the long term, and help the team scale through thoughtful, practical use of AI in everyday engineering work.

  • Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain.
  • Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans.
  • Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners.
  • Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the team most.
  • Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains.
  • Partner with product, design, research and other engineering leaders across Spotify to align priorities and share context.
  • You have deep machine learning expertise and Staff-level technical judgement, and you're comfortable getting hands-on when it matters.
  • You bring experience across NLP, audio / music content understanding and recommender systems.
  • You have a track record of managing engineering teams while delivering complex, cross-functional initiatives.
  • You enjoy coaching senior and Staff engineers, and you help experienced people grow their impact.
  • You have a clear, informed point of view on using AI to improve how ML engineers work, and you can inspire a team to adopt it.
  • You think strategically, communicate clearly, and can balance long-term bets with near-term delivery.
  • This role is based in London or Stockholm.
  • We offer the flexibility to work where you work best! There will be some in person meeetings, but still allows for flexibility to work from home. 
  • Location & Eligibility

    Where is the job
    London, United Kingdom
    Hybrid, some on-site time required
    Who can apply
    GB

    About this job

    Who can apply
    United Kingdom
    Posted
    29 days ago
    Employer
    has 90 open jobs on Jobera in 14 countries.

    Listing Details

    Posted
    October 6, 2026
    First seen
    October 7, 2026
    Last seen
    November 4, 2026

    Posting Health

    Days active
    28
    Repost count
    0
    Trust Level
    33%
    Scored at
    November 5, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust

    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 opportunity to enjoy and be inspired by it.

    Employees
    1,001-5,000
    Founded
    2006
    View company profile
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    Senior Machine Learning Engineering Manager - Content Platform