Aws Machine Learning

Aws Machine Learning Salary

$21K

$146.5K

$199K

$145,725

/year

$70.06

/hour

Aws Machine Learning Salary Comparison by Location

Nationwide

United States

$145,725

Columbus

Ohio

$140,755

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    How much does an Aws Machine Learning make?

    As of Jun 17, 2026, the average annual pay for an Aws Machine Learning in the United States is $145,725 a year.

    Just in case you need a simple salary calculator, that works out to be approximately $70.06 an hour. This is the equivalent of $2,802/week or $12,143/month.

    While ZipRecruiter is seeing annual salaries as high as $199,000 and as low as $21,000, the majority of Aws Machine Learning salaries currently range between $129,500 (25th percentile) to $170,000 (75th percentile) with top earners (90th percentile) making $189,000 annually across the United States. The average pay range for an Aws Machine Learning varies greatly (by as much as 40500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.

    An Aws Machine Learning in your area makes on average $140,755 per year, or $4,970 (3.411%) less than the national average annual salary of $145,725. Ohio ranks number 30 out of 50 states nationwide for Aws Machine Learning salaries.

    To estimate the most accurate annual salary range for Aws Machine Learning jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.

    Find your next high paying job as an Aws Machine Learning on ZipRecruiter today.

    What are Top 10 Highest Paying Cities for Aws Machine Learning Jobs

    We've identified 10 cities where the typical salary for an Aws Machine Learning job is above the national average. Topping the list is Nome, AK, , with Cupertino, CA, and Berkeley, CA, close behind in the second and third positions. Berkeley, CA, beats the national average by $32,706 (22.4%), and Nome, AK, furthers that trend with another $35,046 (24.0%) above the $145,725 average.

    With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as an Aws Machine Learning 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 Nome, AK, and Santa Clara, CA, , 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 an Aws Machine Learning role.

    City

    Annual Salary

    Hourly Wage

    Nome, AK

    $180,771

    $86.91

    Cupertino, CA

    $179,787

    $86.44

    Berkeley, CA

    $178,431

    $85.78

    Sitka, AK

    $175,552

    $84.40

    Sunnyvale, CA

    $173,370

    $83.35

    San Francisco, CA

    $171,689

    $82.54

    Livermore, CA

    $170,933

    $82.18

    San Jose, CA

    $170,788

    $82.11

    Mountain View, CA

    $170,633

    $82.04

    Santa Clara, CA

    $169,816

    $81.64

    What are Top 5 Best Paying Related Aws Machine Learning Jobs in the U.S.

    Analyzing some similar jobs related to the Aws Machine Learning job category, we found that Contract Machine Learning Engineer jobs have average salaries similar than Aws Machine Learning jobs.

    Job Title

    Annual Salary

    Hourly Wage

    Contract Machine Learning Engineer

    $128,769

    $61.91

    Machine Learning Finance

    $92,631

    $44.53

    Machine Learning Developer

    $79,911

    $38.42

    Fmv Analyst

    $76,346

    $36.70

    Red Panda

    $34,775

    $16.72

    About Our Data

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

    Infographic detailing Aws Machine Learning salary across the United States as of June 2026. Displays a bar chart with salary percentiles, a national average salary of $145,725 per year or $70.06 an hour, and a color-coded map showing state-by-state salary variations.