Machine Learning Engineer – Subscriptions

Spotify

. Lead multi-week ML initiatives end to end, from translating business requirements into technical specifications to shipping models and measuring their impact on subscriber metrics .

Posted 10/23/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping production machine learning systems, with a strong foundation in machine learning theory and practice. Capable of leading projects end to end, making independent technical decisions, and effectively communicating with stakeholders.

Highest-signal resume keywords

Production ML Systems DevelopmentMachine Learning Theory and PracticeModel Development with PyTorchData Pipeline ConstructionCloud Platforms Experience (GCP, AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel DevelopmentData Pipeline BuildingPython ProgrammingScala ProgrammingAI-Assisted EngineeringOptimization TechniquesTechnical DocumentationExperimentationSubscriber Metrics Analysis

Soft Skills

Clear CommunicationCollaborationStakeholder EngagementIndependent Decision-MakingContext Sharing

Tools & Technologies

GCPAWSPyTorchAgile Software ProcessesData Development Tools

Industry Keywords

Machine LearningSubscriber GrowthPremium RetentionChurn ReductionPersonalization

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformPythonPyTorchScala

About the role

Key responsibilities & impact

Lead multi-week ML initiatives end to end, from translating business requirements into technical specifications to shipping models and measuring their impact on subscriber metrics
Own components of ML systems, making independent technical trade-offs and keeping them observable, reliable, and well documented
Collaborate with user research, design, data science, product management, and engineering teams to build product features
Prototype new approaches and productionise solutions at scale for hundreds of millions of active users
Help drive optimisation, testing, and tooling to improve quality
Share context with teammates and raise squad velocity
Use AI-assisted engineering to move faster and remove repetitive toil while owning the quality of shipped work
Partner with senior and staff ML engineers and participate in Spotify’s machine learning practitioner community
Develop and improve production models supporting personalization and optimization across Subscriptions
Build ML solutions for subscriber growth, monthly active users, Premium retention, conversion, payment experiences, churn reduction, and reusable subscriber embeddings

Requirements

What you’ll need

Experience building and shipping production ML systems
Strong background in machine learning theory and practice
Ability to explain the intuition and assumptions behind ML concepts
Ability to own well-scoped ML projects end to end and make sound technical decisions independently
Clear communication with stakeholders and ability to explain technical choices
Hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages
Model development experience with PyTorch
Experience building data pipelines
Self-sufficient in obtaining data to build and evaluate models
Experience with cloud platforms such as GCP or AWS preferred
Interest in agile software processes, data development, reliability, and focused experimentation
Desire to drive business impact

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations during the interview and application process
Flexible work location within the EMEA region where Spotify has a work location
Collaboration within Central European and GMT time zones