Side-by-side distribution
CISO
$287,775
median · per year, annualized USD
- Disclosing
- 34.7%
- Live roles
- 101
MLOps
$187,500
median · per year, annualized USD
- Disclosing
- 18.9%
- Live roles
- 127
Highest-paying jobs
CISO
Chief Information Security Officer
Head of Security & Compliance
Head of Security & Compliance
Chief Information Security Officer
Chief Information Security Officer (CISO)
Chief Information Security Officer (CISO)
Chief Information Security Officer
Field Chief Information Security Officer (Field CISO)
Head of Product Security
Highest-paying jobs
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
Top companies hiring
| Company | Median | Roles |
|---|---|---|
|
Masabi
|
$482,308 | 3 |
|
Harvey
|
$317,500 | 2 |
|
Hippo Insurance
|
$313,750 | 2 |
|
DriveWealth
|
$308,750 | 2 |
NexHealth
|
$180,000 | 2 |
| DR DFO Referrals | $530,000 | 1 |
|
Rain
|
$524,500 | 1 |
|
Compass
|
$375,000 | 1 |
Top companies hiring
| 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 |
CISO salary by location
| Location | Median | Roles |
|---|---|---|
| Austin | $313,750 | 3 |
| New York | $295,000 | 9 |
| San Francisco | $227,500 | 9 |
| London | $222,500 | 3 |
| Seattle | $201,250 | 4 |
CISO vs MLOps: which pays more?
The median for CISO is $287,775 per year (typically $224,375–$319,375), versus $187,500 for MLOps ($147,500–$236,325). That puts CISO about 53% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so CISO and MLOps 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.