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Machine Learning Operations Engineer

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April 29, 2024 Updated June 11, 2025 16 minute read

Navigating the World of Machine Learning Operations Engineering

Machine Learning Operations (MLOps) Engineering is an emerging and increasingly vital field that merges the worlds of machine learning, data engineering, and DevOps. At its core, an MLOps Engineer is responsible for streamlining the entire lifecycle of machine learning models—from their initial design and development through to deployment, monitoring, and ongoing maintenance in production environments. This role acts as a critical bridge, ensuring that the sophisticated models created by data scientists can be reliably and efficiently integrated into real-world applications and business processes.

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Salaries for Machine Learning Operations Engineer

City
Median
New York
$156,000
San Francisco
$165,000
Seattle
$155,000
See all salaries
City
Median
New York
$156,000
San Francisco
$165,000
Seattle
$155,000
Austin
$153,000
Toronto
$107,000
London
£93,000
Paris
€51,200
Berlin
€104,000
Tel Aviv
₪370,000
Singapore
S$109,000
Beijing
¥412,000
Shanghai
¥242,000
Bengalaru
₹801,000
Delhi
₹1,950,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

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