Salary for Senior-level / Expert MLOps Engineer in Canada during 2025

💰 The median Salary for Senior-level / Expert MLOps Engineer in Canada during 2025 is USD 141,260

✏️ This salary info is based on 8 individual salaries reported during 2025

Submit your salary Download the data

Salary details

The average senior-level / expert MLOps Engineer salary lies between USD 94,220 and USD 156,200 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title
MLOps Engineer
Experience
Senior-level / Expert
Region
Canada
Salary year
2025
Sample size
8
Top 10%
$ 194,700
Top 25%
$ 156,200
Median
$ 141,260
Bottom 25%
$ 94,220
Bottom 10%
$ 75,880

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated:

Top 20 Job Tags for Senior-level / Expert MLOps Engineer roles

The three most common job tag items assiciated with senior-level / expert MLOps Engineer job listings are MLOps, Machine Learning and Python. Below you find a list of the 20 most occuring job tags in 2025 and the number of open jobs that where associated with them during that period:

MLOps | 102 jobs Machine Learning | 100 jobs Python | 88 jobs Pipelines | 82 jobs Engineering | 80 jobs CI/CD | 74 jobs Kubernetes | 69 jobs ML models | 64 jobs AWS | 59 jobs Docker | 56 jobs Computer Science | 55 jobs Azure | 52 jobs Security | 50 jobs MLFlow | 50 jobs DevOps | 48 jobs GCP | 46 jobs Testing | 42 jobs Terraform | 41 jobs TensorFlow | 39 jobs Architecture | 37 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert MLOps Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert MLOps Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2025 and the number of open jobs that where offering them during that period:

Career development | 80 jobs Health care | 36 jobs Flex hours | 24 jobs Competitive pay | 24 jobs Flex vacation | 22 jobs Startup environment | 22 jobs Equity / stock options | 21 jobs Salary bonus | 17 jobs Team events | 16 jobs Wellness | 13 jobs Transparency | 13 jobs Parental leave | 12 jobs Medical leave | 10 jobs Insurance | 10 jobs Flexible spending account | 6 jobs 401(k) matching | 4 jobs Fitness / gym | 4 jobs Relocation support | 4 jobs Snacks / Drinks | 4 jobs Travel | 2 jobs

Related salaries

MLOps Engineer @ $ 165,000 (global) - Senior-level / Expert Details
MLOps Engineer @ $ 165,000 (global) Details
MLOps Engineer @ $ 164,840 (global) - Mid-level / Intermediate Details
MLOps Engineer @ $ 179,840 (United States) - Mid-level / Intermediate Details
MLOps Engineer @ $ 172,725 (United States) Details
MLOps Engineer @ $ 170,635 (United States) - Senior-level / Expert Details
MLOps Engineer @ $ 141,260 (Canada) Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.