Data Engineer - Machine Learning | Fraud & Abuse

DeepL, a leading Language AI platform, is seeking a Data Engineer to join their Abuse Prevention team in London. This role combines software engineering and machine learning to protect DeepL's platform from fraud and abuse. You'll be responsible for building and maintaining critical data infrastructure that powers threat detection systems, working with large-scale data pipelines, and implementing machine learning models for abuse detection.

The position offers an opportunity to work with cutting-edge technology in a rapidly growing AI company that's transforming global communication. You'll be part of a diverse, international team spanning multiple countries, with colleagues from over 90 nationalities. The role demands expertise in Python, SQL, and machine learning, along with experience in distributed systems and container orchestration.

DeepL offers an attractive work environment with a hybrid setup (2 days in office), flexible hours, and extensive benefits including 30 days annual leave. The company emphasizes professional growth, regular feedback, and work-life balance. You'll participate in monthly hack days, regular team events, and have the opportunity to shape the future of language AI technology.

The ideal candidate will combine technical expertise with a pragmatic approach to problem-solving, balancing perfect solutions with business priorities. This role is perfect for someone passionate about applying data engineering and machine learning to real-world challenges in a fast-paced, international environment.