What are the top 10 cities with the highest pay for Machine Learning Ops Engineer?

We've identified 10 cities in Georgia where Machine Learning Ops Engineer jobs typically pay above the area average. Topping the list is Embry Hills (16.7% above average), followed by Alpharetta and Atlanta. City Annual Salary Monthly Pay Weekly Pay Hourly Wage Embry Hills $126,867 $10,572 $2,439 $60.99 Alpharetta $125,717 $10,476 $2,417 $60.44 Atlanta $123,832 $10,319 $2,381 $59.53 Macon $123,498 $10,291 $2,374 $59.37 Peachtree Corners $121,781 $10,148 $2,341 $58.55 Norcross $120,758 $10,063 $2,322 $58.06 Savannah $119,940 $9,995 $2,306 $57.66 Kennesaw $118,994 $9,916 $2,288 $57.21 Lithia Springs $118,723 $9,893 $2,283 $57.08 Duluth $118,522 $9,876 $2,279 $56.98

Machine Learning Ops Engineer

Machine Learning Ops Engineer Salary in Georgia

Q: How much does a Machine Learning Ops Engineer make in Georgia?

The average annual pay for a machine learning ops engineer in Georgia is $108,730 a year — that works out to approximately $52.27 an hour. That is 15.6% below the national average of $128,769. The middle 80% of Machine Learning Ops Engineers earn between $67,550 (10th percentile) and $150,300 (90th percentile) per year, depending on experience and employer.

Q: What are Top 5 Best Paying Related Machine Learning Ops Engineer Jobs in Georgia?

We found several jobs related to Machine Learning Ops Engineer in Georgia that pay more on average. Topping the list is Architecture Faculty at $25,308 (23.3%) above Machine Learning Ops Engineer. Job Title Annual Salary Monthly Pay Weekly Pay Hourly Wage Architecture Faculty $83,422 $6,951 $1,604 $40.11 Nuclear Physics Professor $73,015 $6,084 $1,404 $35.10 Suny Research Foundation $49,281 $4,106 $947 $23.69 Customer Development Specialist $47,449 $3,954 $912 $22.81 Nano $43,333 $3,611 $833 $20.83

$26.6K

$109.8K

$163K

$108,730

/year

$52.27

/hour

Machine Learning Ops Engineer Salary Comparison by Location

Nationwide

United States

$128,769

Georgia

$108,730

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How much does a Machine Learning Ops Engineer make in Georgia?

As of Jul 27, 2026, the average annual pay for a Machine Learning Ops Engineer in Georgia is $108,730 a year.

Just in case you need a simple salary calculator, that works out to be approximately $52.27 an hour. This is the equivalent of $2,090/week or $9,060/month.

While ZipRecruiter is seeing salaries as high as $162,966 and as low as $26,598, the majority of Machine Learning Ops Engineer salaries currently range between $85,700 (25th percentile) to $130,900 (75th percentile) with top earners (90th percentile) making $150,300 annually in Georgia. The average pay range for a Machine Learning Ops Engineer varies greatly (by as much as 45200), 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 Ops Engineer salaries.

To estimate the most accurate annual salary range for Machine Learning Ops 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 Ops Engineer on ZipRecruiter today.

What are Top 10 Highest Paying Cities for Machine Learning Ops Engineer Jobs in Georgia

We've identified 10 cities where the typical salary for a Machine Learning Ops Engineer job is above the average in Georgia in Georgia. Topping the list is Embry Hills, , with Alpharetta, and Atlanta, close behind in the second and third positions. Atlanta, beats the average in Georgia by $15,102 (13.9%), and Embry Hills, furthers that trend with another $18,137 (16.7%) above the $108,730 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 Ops Engineer appears to be exceedingly fruitful.

Finally, another factor to consider is the average salary for these top 10 cities varies very little at 6% between Embry Hills, and Duluth, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Machine Learning Ops Engineer role.

City	Annual Salary	Monthly Pay	Weekly Pay	Hourly Wage
Embry Hills	$126,867	$10,572	$2,439	$60.99
Alpharetta	$125,717	$10,476	$2,417	$60.44
Atlanta	$123,832	$10,319	$2,381	$59.53
Macon	$123,498	$10,291	$2,374	$59.37
Peachtree Corners	$121,781	$10,148	$2,341	$58.55
Norcross	$120,758	$10,063	$2,322	$58.06
Savannah	$119,940	$9,995	$2,306	$57.66
Kennesaw	$118,994	$9,916	$2,288	$57.21
Lithia Springs	$118,723	$9,893	$2,283	$57.08
Duluth	$118,522	$9,876	$2,279	$56.98

What are Top 5 Best Paying Related Machine Learning Ops Engineer Jobs in Georgia

Analyzing similar jobs related to the Machine Learning Ops Engineer job category in Georgia, we found 5 that were relevant. However, none pay more than the $108730 state average for Machine Learning Ops Engineer jobs.

Nevertheless Architecture Faculty, Nuclear Physics Professor, or Suny Research Foundation may still be interesting positions to explore.

Job Title	Annual Salary	Monthly Pay	Weekly Pay	Hourly Wage
Architecture Faculty	$83,422	$6,951	$1,604	$40.11
Nuclear Physics Professor	$73,015	$6,084	$1,404	$35.10
Suny Research Foundation	$49,281	$4,106	$947	$23.69
Customer Development Specialist	$47,449	$3,954	$912	$22.81
Nano	$43,333	$3,611	$833	$20.83

About Our Data

ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.

Infographic detailing Machine Learning Ops Engineer salary in Georgia as of July 2026. Shows a bar chart with salary percentiles ranging from $85,700 to $150,300 annually, with the Georgia average at $108,730 per year or $52.27 per hour. Includes a list of the top 10 highest paying cities in Georgia for Machine Learning Ops Engineer jobs, with Embry Hills leading at $126,867 annually.

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