MLOps Engineer vs Analytics Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
MLOps Engineer
Build and maintain infrastructure for deploying machine learning models at scale.
Analytics Engineer
Build and maintain the data models and pipelines that power business intelligence.
Analytics Engineer earns more on average — the national median is $20,955/year (21%) higher than a MLOps Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
MLOps Engineer vs Analytics Engineer — Salary by City
National median figures in USD across top cities.
| City | MLOps Engineer | Analytics Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $144,519 | $171,525 | MLOps $27,006 |
| New York, NY | $119,390 | $147,203 | MLOps $27,813 |
| Seattle, WA | $139,997 | $173,765 | MLOps $33,768 |
| Austin, TX | $107,475 | $131,230 | MLOps $23,755 |
| Chicago, IL | $108,552 | $125,515 | MLOps $16,963 |
| Boston, MA | $133,124 | $158,382 | MLOps $25,258 |
| London, UK | £79,867 | £93,991 | MLOps $14,124 |
| Toronto, Canada | CA$130,108 | CA$163,067 | MLOps $32,959 |
Frequently Asked Questions
Does a MLOps Engineer or Analytics Engineer earn more?+
A Analytics Engineer earns more on average. The national median salary for a MLOps Engineer is $99,130/year, compared to $120,085/year for a Analytics Engineer — a difference of $20,955 (21%).
Which has better career growth — MLOps Engineer or Analytics Engineer?+
MLOps Engineer roles are growing at 52% YoY while Analytics Engineer demand is growing at 38% YoY. MLOps Engineer has stronger near-term demand growth.
Can you switch from MLOps Engineer to Analytics Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: Python.
Which is harder to automate — MLOps Engineer or Analytics Engineer?+
MLOps Engineer has a lower AI automation risk (22% vs 35%). Based on Oxford Martin School and McKinsey 2023 analysis.