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Senior Machine Learning Engineering Manager

SpotifyLondon, United KingdomFull-timeSalary not listed · Typical pay in United KingdomPosted Oct 7, 2026
Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

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.

What You'll Do
  • 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.
  • Who You Are
  • 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.
  • Where You'll Be
  • 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. 
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    DGJ Insight

    Our own data about this role and place, from official statistics and our live job index.

    Updated Oct 24, 2026
    Pay benchmark
    Average wage, United Kingdom
    GBP 46,511 average / year

    Source: OECD Average annual wages, 2025

    Cost of living · United Kingdom
    100.5 vs New York = 100

    UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.

    Source: ICSC post adjustment classifications (icsc.un.org)

    Work permit route
    • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
    • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
    • Global Talent visa: Endorsement as a leader or potential leader in a listed field

    Official routes: UK Visas and Immigration (GOV.UK)

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