Machine Learning Operations Engineer Salary in Texas
$33.5K - $41.9K
3% of jobs
$41.9K - $50.3K
4% of jobs
$50.3K - $58.7K
5% of jobs
$64.5K is the 25th percentile. Wages below this are outliers.
$58.7K - $67.1K
20% of jobs
The median wage is $75.2K / yr.
$67.1K - $75.5K
20% of jobs
$75.5K - $83.8K
19% of jobs
$87.1K is the 75th percentile. Wages above this are outliers.
$83.8K - $92.2K
14% of jobs
$92.2K - $100.6K
5% of jobs
$100.6K - $109K
5% of jobs
$109K - $117.4K
4% of jobs
$117.4K - $125.8K
3% of jobs
$33.5K
$75.9K
$125.8K
$79,217
/year
$38.09
/hour
Machine Learning Operations Engineer Salary Comparison by Location
Nationwide
United States
$85,029
Texas
Texas
$79,217
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How much does a Machine Learning Operations Engineer make in Texas?
As of Jun 17, 2026, the average annual pay for a Machine Learning Operations Engineer in Texas is $79,217 a year.
Just in case you need a simple salary calculator, that works out to be approximately $38.09 an hour. This is the equivalent of $1,523/week or $6,601/month.
While ZipRecruiter is seeing salaries as high as $125,772 and as low as $33,540, the majority of Machine Learning Operations Engineer salaries currently range between $64,800 (25th percentile) to $87,600 (75th percentile) with top earners (90th percentile) making $109,935 annually in Texas. The average pay range for a Machine Learning Operations Engineer varies greatly (by as much as 22800), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
Texas 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 Texas
We've identified 10 cities where the typical salary for a Machine Learning Operations Engineer job is above the average in Texas in Texas. Topping the list is Taylor, , with Odessa, and Bastrop, close behind in the second and third positions. Bastrop, beats the average in Texas by $5,351 (6.8%), and Taylor, furthers that trend with another $6,644 (8.4%) above the $79,217 average.
With these 10 cities paying on average above the average for Texas, the opportunities for economic advancement by changing locations as a Machine Learning Operations Engineer appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 4% between Taylor, and Corpus Christi, , 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 Operations Engineer role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Taylor | $85,861 | $41.28 |
Odessa | $85,800 | $41.25 |
Bastrop | $84,568 | $40.66 |
Austin | $84,281 | $40.52 |
Dallas | $84,099 | $40.43 |
Midland | $83,480 | $40.13 |
Wichita Falls | $82,764 | $39.79 |
Harlingen | $82,706 | $39.76 |
Garland | $82,153 | $39.50 |
Corpus Christi | $82,134 | $39.49 |
What are Top 5 Best Paying Related Machine Learning Operations Engineer Jobs in Texas
Analyzing similar jobs related to the Machine Learning Operations Engineer job category in Texas, we found 5 that were relevant. However, none pay more than the $79217 state average for Machine Learning Operations Engineer jobs.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Aws Machine Learning | $135,765 | $65.27 |
Contract Machine Learning Engineer | $119,968 | $57.68 |
Machine Learning Finance | $86,300 | $41.49 |
Machine Learning Developer | $74,449 | $35.79 |
Red Panda | $32,398 | $15.58 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
