Android Developer vs MLOps Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Android Developer
Build native applications for Android devices.
MLOps Engineer
Build and maintain infrastructure for deploying machine learning models at scale.
Android Developer earns more on average — the national median is $36,850/year (37%) higher than a MLOps Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Android Developer vs MLOps Engineer — Salary by City
National median figures in USD across top cities.
| City | Android Developer | MLOps Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $199,895 | $144,519 | Android +$55,376 |
| New York, NY | $162,536 | $119,390 | Android +$43,146 |
| Seattle, WA | $196,429 | $139,997 | Android +$56,432 |
| Austin, TX | $149,692 | $107,475 | Android +$42,217 |
| Chicago, IL | $146,963 | $108,552 | Android +$38,411 |
| Boston, MA | $172,594 | $133,124 | Android +$39,470 |
| London, UK | £106,023 | £79,867 | Android +$26,156 |
| Toronto, Canada | CA$183,297 | CA$130,108 | Android +$53,189 |
Frequently Asked Questions
Does a Android Developer or MLOps Engineer earn more?+
A Android Developer earns more on average. The national median salary for a Android Developer is $135,980/year, compared to $99,130/year for a MLOps Engineer — a difference of $36,850 (37%).
Which has better career growth — Android Developer or MLOps Engineer?+
Android Developer roles are growing at 18% YoY while MLOps Engineer demand is growing at 52% YoY. MLOps Engineer has stronger near-term demand growth.
Can you switch from Android Developer to MLOps Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Android Developer or MLOps Engineer?+
MLOps Engineer has a lower AI automation risk (22% vs 42%). Based on Oxford Martin School and McKinsey 2023 analysis.