Senior Machine Learning Engineer – Personalization

🕒 March 18

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Design, train, and ship machine learning models that power recommendations on the Now Playing View for hundreds of millions of users • Own ranking systems end-to-end, from experimentation and training pipelines to online serving and monitoring • Build and iterate on generative and agentic ML approaches to improve session steering and cross-content discovery • Work in an AI-native development environment, using AI tools to accelerate development while applying strong engineering judgment • Run A/B experiments, define success metrics, and translate improvements into measurable user impact • Collaborate closely with engineers, data scientists, researchers, and product managers to bring ideas into production • Shape the ML roadmap by identifying high-impact opportunities and mentor teammates

🎯 Requirements

• You have hands-on experience building recommendation or personalization systems at scale • You’re comfortable working across the ML stack, including pipelines, backend systems, and infrastructure • You think in products and understand how model decisions impact user experience • You’re fluent with AI-assisted development and use it to accelerate experimentation thoughtfully • You’re curious about emerging approaches like generative models and agentic ML systems • You’ve taken models from prototype to production and care about reliability and monitoring • You’re comfortable with ambiguity and enjoy defining new approaches in evolving problem spaces

🏖️ Benefits

• Flexible working hours • Professional development opportunities