At a Glance
- Tasks: Lead machine learning strategy for content safety and policy enforcement at Spotify.
- Company: Join Spotify, a global leader in music and audio streaming.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to mentor and influence across teams.
- Why this job: Make a real impact on user experience and content safety for millions worldwide.
- Qualifications: Experience in building scalable ML systems and strong knowledge of modern ML 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 investing in systems that ensure content remains safe, compliant, and high quality.
What You Will Do
- Define & drive machine learning strategy for safety, policy enforcement, and compliance systems
- Build and scale ML systems for detection, classification, and risk assessment across content
- Develop automated decisioning systems that ensure consistent, reliable enforcement of policies
- Design systems that support real-time and large-scale content evaluation
- Collaborate with product, policy, and trust & safety teams to operationalize content standards
- Improve automation to reduce manual intervention, maintaining high quality and safety standards
- Drive best practices in evaluation, fairness, and system reliability
- Mentor engineers and contribute to technical direction across teams
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 similar
- You have worked on systems where ML outputs influence real-world decisions
- You understand how to design systems that balance automation with safety and user experience
- You are comfortable working on complex, ambiguous problems with high impact
- You think in systems and understand how models connect to platform-level outcomes
- You care 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 Policy & Safety 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 employees are encouraged to grow through mentorship and hands-on experience in cutting-edge machine learning technologies. With a strong commitment to employee well-being, we provide flexible working arrangements and a supportive atmosphere that empowers our team to create safe and high-quality content for millions of users worldwide.
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We think this is how you could land Senior Staff Machine Learning Engineer - Content Policy & Safety in London
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We think you need these skills to ace Senior Staff Machine Learning Engineer - Content Policy & Safety 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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