Senior ML Ops Engineer

Kayak · Berlin Office

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Company
Kayak
Location
Berlin Office
Posted
August 21, 2026

About this job

Every machine learning model KAYAK ships depends on reliable, scalable infrastructure to move from experiment to production — and that's exactly what this role makes possible. KAYAK is seeking a Senior MLOps Engineer who will focus on the design and implementation of our machine learning infrastructure and production lifecycle. This is a senior, hands-on role where you will bridge the gap between data science and production engineering. You will join the Machine Learning Platform team and be responsible for building and maintaining scalable infrastructure & automated pipelines for model training, deployment, and monitoring, ensuring our ML models are reliable, reproducible, and performant.

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Engineer salaries in Germany

Based on 331 postings that disclose pay.

Median salarygross / year
€70,000
€55,000Typical range€85,000

Estimated from advertised pay across our sources — indicative gross annual figures, not an offer.

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