At a Glance
- Tasks: Shape and scale machine learning systems for content understanding and decision-making.
- Company: Join Spotify, a leader in creating effortless and joyful listening experiences.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and quality.
- Why this job: Make a real impact on how millions enjoy music and podcasts globally.
- Qualifications: Experience in building production-grade ML systems and familiarity with modern frameworks.
The predicted salary is between 80000 - 98000 £ per year.
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.
The Content Platform team powers the full lifecycle of content across music, podcasts, audiobooks, and emerging formats at Spotify. We ensure that everything from licensed catalog to user-generated content is trusted, safe, and high quality for millions of listeners worldwide. Our systems are responsible for how content is ingested, understood, enriched, governed, and distributed across the platform. As the scale and diversity of content continues to grow—driven by advances in AI and new creation tools—we’re building intelligent systems that can evaluate, manage, and route content reliably at global scale.
We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content is evaluated, governed, and safely delivered at global scale. This work is foundational to delivering safe, high-quality experiences for both listeners and creators, while enabling new ways to interact with content across Spotify.
What You Will Do
- Shape the machine learning strategy for content understanding and platform-level decisioning
- Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content
- Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale
- Design and deploy models across text, audio, image, and video domains
- Build systems that enable controlled, reliable access to content and metadata for downstream applications
- Collaborate with product, policy, trust & safety teams to operationalize content standards across platform
- Improve automation to reduce manual intervention while maintaining high standards of trust and quality
- Mentor engineers and contribute to best practices in ML engineering, evaluation, and system design
Who You Are
- You have strong experience building production-grade machine learning systems at scale
- You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
- You have worked with or are interested in multimodal machine learning
- You understand how to design systems that balance automation with quality, safety, and user experience
- You are comfortable working on complex, ambiguous problems with high impact
- You think in systems, connecting models to platform-level outcomes and user experiences
- You care deeply about data quality, evaluation rigor, and system reliability
- You communicate clearly and influence across technical and non-technical teams
Where You Will Be
This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Senior Staff Machine Learning Engineer, Content Platform in London employer: The Consulting Solutions
At Spotify, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our London and Stockholm offices offer a dynamic work environment where creativity thrives, and employees are encouraged to grow through mentorship and continuous learning opportunities. With a commitment to work-life balance and the flexibility to work from home, we ensure that our team members can contribute meaningfully while enjoying a fulfilling personal life.
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We think this is how you could land Senior Staff Machine Learning Engineer, Content Platform in London
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We think you need these skills to ace Senior Staff Machine Learning Engineer, Content Platform in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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