Side-by-side distribution
Kotlin
$196,000
median · per year, annualized USD
- Disclosing
- 8.8%
- Live roles
- 68
MLOps
$187,500
median · per year, annualized USD
- Disclosing
- 18.9%
- Live roles
- 127
Highest-paying jobs
Software Engineer 3- Python/Kotlin/Java/Terraform/ElasticSearch/OpenSearch/AWS
Kotlin Multiplatform Engineer (Senior-Staff Levels)
Staff Android (Kotlin) Engineer — Digital Signage / Embedded Media Platform
Senior Software Engineer, Android (Kotlin)
Backend Customer Success Engineer (Kotlin Ecosystem)
Software Engineer II (Mobile Developer - Android/Kotlin) - Mobile App Growth
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 |
|---|---|---|
|
Grocery TV
|
$212,500 | 1 |
|
Cantina
|
$205,000 | 1 |
|
Captivation Software
|
$200,000 | 1 |
| DO Doximity | $192,000 | 1 |
|
Klaviyo
|
$145,000 | 1 |
|
JetBrains
|
$138,000 | 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 |
Kotlin vs MLOps: which pays more?
The median for Kotlin is $196,000 per year (typically $156,750–$203,750), versus $187,500 for MLOps ($147,500–$236,325). That puts Kotlin about 5% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Kotlin 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.