Median salary
$187,450
per year · annualized USD
Typical range
$116.9k – $206k
25th–75th percentile
Disclosing pay
77.8%
7 of 9 roles
Live roles
9
open right now
Senior / Staff ML Ops Engineer
MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)
Staff ML Platform Engineer (MLOps)
Senior Machine Learning Operations Engineer
Software Engineer, ML Ops
AI/ML DevOps Engineer
MLOps Engineer
| Company | Median | Roles |
|---|---|---|
Waabi
|
$228,000 | 1 |
Weekday AI
|
$218,400 | 1 |
FutureFit AI
|
$193,500 | 1 |
Mercury
|
$187,450 | 1 |
AeroVect
|
$139,307 | 1 |
Corient
|
$94,500 | 1 |
Later
|
$92,088 | 1 |
See every MLOps role
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The median salary for MLOps roles in Canada is $187,450 per year. Most pay falls between $116,903 (25th percentile) and $205,950 (75th percentile), with the broader 10th–90th percentile band running from $93,535 to $222,240.
These figures are computed live from 9 active MLOps roles in Canada on JobsRadar, of which 7 (77.8%) 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 Canada include Waabi, Weekday AI, FutureFit AI and Mercury.
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.