Machine Learning Operations Engineer Salary in Georgia
$30.4K - $38K
3% of jobs
$38K - $45.6K
4% of jobs
$45.6K - $53.2K
5% of jobs
$58.4K is the 25th percentile. Wages below this are outliers.
$53.2K - $60.8K
20% of jobs
The median wage is $68.2K / yr.
$60.8K - $68.4K
20% of jobs
$68.4K - $76K
19% of jobs
$78.9K is the 75th percentile. Wages above this are outliers.
$76K - $83.6K
14% of jobs
$83.6K - $91.2K
5% of jobs
$91.2K - $98.8K
5% of jobs
$98.8K - $106.4K
4% of jobs
$106.4K - $114K
3% of jobs
$30.4K
$68.8K
$114K
$71,797
/year
$34.52
/hour
Machine Learning Operations Engineer Salary Comparison by Location
Nationwide
United States
$85,029
Georgia
Georgia
$71,797
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How much does a Machine Learning Operations Engineer make in Georgia?
As of Jul 2, 2026, the average annual pay for a Machine Learning Operations Engineer in Georgia is $71,797 a year.
Just in case you need a simple salary calculator, that works out to be approximately $34.52 an hour. This is the equivalent of $1,380/week or $5,983/month.
While ZipRecruiter is seeing salaries as high as $113,991 and as low as $30,398, the majority of Machine Learning Operations Engineer salaries currently range between $58,700 (25th percentile) to $79,400 (75th percentile) with top earners (90th percentile) making $99,637 annually in Georgia. The average pay range for a Machine Learning Operations Engineer varies greatly (by as much as 20700), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
Georgia ranks number 50 out of 50 states nationwide for Machine Learning Operations Engineer salaries.
To estimate the most accurate annual salary range for Machine Learning Operations Engineer jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Machine Learning Operations Engineer on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Machine Learning Operations Engineer Jobs in Georgia
We've identified 10 cities where the typical salary for a Machine Learning Operations Engineer job is above the average in Georgia in Georgia. Topping the list is Ellabell, , with College Park, and McDonough, close behind in the second and third positions. McDonough, beats the average in Georgia by $23,369 (32.5%), and Ellabell, furthers that trend with another $30,381 (42.3%) above the $71,797 average.
With these 10 cities paying on average above the average for Georgia, the opportunities for economic advancement by changing locations as a Machine Learning Operations Engineer appears to be exceedingly fruitful.
However, another factor to consider is the average salary for these top 10 cities varies modestly at 21% between Ellabell, and Athens, , suggesting it may be difficult to see much positive wage advancement. The possibility of a lower cost of living may help determine the balance between location and salary for a Machine Learning Operations Engineer role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Ellabell | $102,178 | $49.12 |
College Park | $101,062 | $48.59 |
McDonough | $95,166 | $45.75 |
Roswell | $94,292 | $45.33 |
Sandy Springs | $84,417 | $40.59 |
Ochillee | $84,256 | $40.51 |
Alpharetta | $83,013 | $39.91 |
Fairburn | $82,214 | $39.53 |
Forest Park | $82,210 | $39.52 |
Athens | $82,102 | $39.47 |
What are Top 5 Best Paying Related Machine Learning Operations Engineer Jobs in Georgia
Analyzing similar jobs related to the Machine Learning Operations Engineer job category in Georgia, we found 5 that were relevant. However, none pay more than the $71797 state average for Machine Learning Operations Engineer jobs.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Vice President Machine Learning Engineer | $182,045 | $87.52 |
Machine Learning Software Engineer | $124,566 | $59.89 |
Senior Machine Learning Engineer | $106,862 | $51.38 |
Machine Learning Finance | $78,216 | $37.60 |
Machine Learning Developer | $67,475 | $32.44 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
