$187,500
median · per year, annualized USD
$200,000
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
Quant Strategist
Quantitative Intelligence Analyst
2027 Internship - Quant Research (Undergrad)
Quantitative Research Analyst - Jersey City, NJ
Campus Quantitative Trader (Full-Time)
Summer Intern 2027 - Quantitative Trader
Campus Full Time 2027 - Quantitative Trader
Algorithm Developer (Quant Research & Trading) – 2027 Grads
Algorithm Developer (Quant Research & Trading) – 2027 PhDs
Software Engineer, Macro Quant Analytics Technology
| 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 |
|---|---|---|
Hudson River Trading
|
$300,000 | 3 |
Stevens Capital Management LP
|
$225,000 | 3 |
Man Group
|
$160,000 | 3 |
Jump Trading
|
$300,000 | 2 |
Five Rings LLC - Careers
|
$300,000 | 2 |
IMC
|
$250,000 | 2 |
Virtu Financial
|
$227,900 | 2 |
Graham Capital Management, L.P.
|
$225,000 | 2 |
The median for MLOps is $187,500 per year (typically $147,500–$236,325), versus $200,000 for Quantitative Analyst ($150,000–$237,500). That puts Quantitative Analyst about 7% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so MLOps and Quantitative Analyst 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.