$187,500
median · per year, annualized USD
$185,000
median · per year, annualized USD
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Sr. Machine Learning Ops Engineer
DoD MLOps Software Engineer
Sr. Machine Learning Ops Engineer
Senior Business Development Lead - Retail Tech & Software Services
Lead Software Engineer (Backend)
Customer Engineering Lead
Technical Lead, Safety Research
Lead Security Engineer
Data Engineering Lead
Staff Engineer, Emulation Technical Lead
RISC-V AI / HPC & Agentic Software Engineering Lead
Technical Lead Manager, Data Engineering, Trust & Safety
Lead Machine Learning Inference Engineer, Advertising
| Company | Median | Roles |
|---|---|---|
Garner Health
|
$297,500 | 2 |
Torc Robotics
|
$249,000 | 2 |
Quanata
|
$256,500 | 1 |
Roku
|
$254,875 | 1 |
LVT
|
$242,650 | 1 |
Hayden AI
|
$230,000 | 1 |
Instacart
|
$212,750 | 1 |
Cimgroup
|
$200,000 | 1 |
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$170,000 | 33 |
STR
|
$198,250 | 26 |
Motional
|
$237,500 | 21 |
Accenture Federal Services
|
$197,750 | 21 |
Fluidstack
|
$275,000 | 19 |
Scout Motors
|
$176,250 | 16 |
Relativity Space
|
$170,000 | 15 |
OpenAI
|
$338,750 | 14 |
| Location | Median | Roles |
|---|---|---|
| Austin | $266,500 | 24 |
| San Francisco | $238,500 | 141 |
| Seattle | $234,225 | 34 |
| New York | $222,000 | 100 |
| Boston | $212,500 | 51 |
| Atlanta | $190,000 | 13 |
| Denver | $183,500 | 15 |
| Los Angeles | $175,000 | 19 |
| Toronto | $167,673 | 24 |
| Chicago | $166,000 | 26 |
The median for MLOps is $187,500 per year (typically $147,500–$236,325), versus $185,000 for Tech Lead ($152,500–$223,683). That puts MLOps about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so MLOps and Tech Lead are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.