At a Glance
- Tasks: Lead the development of machine learning systems for content safety and policy enforcement.
- Company: Join Spotify, a global leader in music and podcast streaming.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and user experience.
- Why this job: Make a real impact on content safety for millions of users worldwide.
- Qualifications: Experience in building scalable ML systems and strong knowledge of modern ML frameworks.
The predicted salary is between 80000 - 100000 £ 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.
We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring decisions are consistent, explainable, and reliable at global scale. This work is critical to maintaining trust for both listeners and creators.
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: Creandum Advisor LLP
Spotify is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Staff Machine Learning Engineer. With a commitment to employee growth, Spotify offers opportunities to work on cutting-edge technology in a flexible environment, whether in London or Stockholm. The company prioritises safety and quality in content, ensuring that your contributions have a meaningful impact on millions of users worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Machine Learning Engineer - Content Policy & Safety in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Spotify. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your machine learning projects. This is your chance to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your ML knowledge and understanding Spotify's content policies. Tailor your answers to show how you can contribute to their mission.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Senior Staff Machine Learning Engineer - Content Policy & Safety in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Staff Machine Learning Engineer role. Highlight your experience with ML systems, especially those that influence real-world decisions, and don’t forget to mention any relevant frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you’re excited about working at Spotify and how your background in machine learning can contribute to our mission of making listening effortless and joyful for users.
Showcase Your Projects:If you've worked on any projects that demonstrate your ability to build and scale ML systems, make sure to include them! We love seeing practical examples of your work, especially those that relate to safety, policy enforcement, and compliance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Creandum Advisor LLP
✨Know Your ML Frameworks
Make sure you brush up on your experience with modern ML frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've built production-grade systems, as this will show your hands-on expertise.
✨Understand Content Safety
Familiarise yourself with the principles of content safety and policy enforcement. Think about how you can apply machine learning to ensure compliance and high-quality content. Prepare examples of how you've tackled similar challenges in the past.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge gaps and influence decisions across different groups.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've approached complex, ambiguous problems in your previous roles. Highlight your thought process and the impact of your solutions, especially in relation to system reliability and user experience.
