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# Remote Machine Learning Engineer - User Fraud

- **Company:** Spotify
- **Location:** Liverpool, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Database Development, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Machine Learning Operations, Data Pipelines
- **Published:** June 25, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-machine-learning-engineer-user-fraud-liverpool/2840389328-2/

## About the Role

* You have a strong background in machine learning, theory, and practice
 * You are comfortable explaining the intuition and assumptions behind ML concepts
 * You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch
 * You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWS
 * You care about agile software processes, data development, reliability, and focused experimentation
 * You focus on delivering the simplest solution that drives business impact

## Description

* Contribute to designing, building, evaluating, shipping, and refining Spotify's anti-fraud product by hands-on ML development
 * Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud
 * Prototype new approaches and productionise solutions
 * Help drive optimisation, testing, and tooling to improve quality
 * Be part of an active group of machine learning practitioners in your mission and across Spotify
 * Conduct analyses to gain insights on fraudulent behaviours and trends
 * Be responsible for monitoring the quality and performance of the squad's ML models


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