Median salary
$187,475
per year · annualized USD
Typical range
$144.6k – $206.9k
25th–75th percentile
Disclosing pay
54.9%
28 of 51 roles
Live roles
51
open right now
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
Senior / Staff ML Ops Engineer
Senior Staff ML Ops Engineer
MLOps Engineer
Senior ML Ops Engineer (Machine Learning Infrastructure)
MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
| Company | Median | Roles |
|---|---|---|
Weekday AI
|
$202,800 | 2 |
Shirley Ryan AbilityLab
|
$88,225 | 2 |
Garner Health
|
$324,500 | 1 |
Roku
|
$254,875 | 1 |
Roche
|
$228,700 | 1 |
Waabi
|
$228,000 | 1 |
| AM Atomic Machines | $225,000 | 1 |
Instacart
|
$212,750 | 1 |
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The median salary for MLOps roles in United States is $187,475 per year. Most pay falls between $144,625 (25th percentile) and $206,938 (75th percentile), with the broader 10th–90th percentile band running from $134,715 to $228,210.
These figures are computed live from 51 active MLOps roles in United States on JobsRadar, of which 28 (54.9%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid MLOps roles in United States include Roku, Garner Health, Roche and Waabi.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.