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

We've identified 10 cities in the United States where Machine Learning Finance jobs typically pay above the area average. Topping the list is Santa Clara, CA (44.8% above average), followed by Sunnyvale, CA and Kentville, NS. City Annual Salary Monthly Pay Weekly Pay Hourly Wage Santa Clara, CA $134,088 $11,174 $2,578 $64.47 Sunnyvale, CA $129,613 $10,801 $2,492 $62.31 Kentville, NS $127,559 $10,629 $2,453 $61.33 Whitehorse, YT $126,747 $10,562 $2,437 $60.94 Carcross, YT $126,673 $10,556 $2,436 $60.90 Haines Junction, YT $126,240 $10,520 $2,427 $60.69 North Cowichan, BC $125,869 $10,489 $2,420 $60.51 Duncan, BC $125,385 $10,448 $2,411 $60.28 Oak Bay, BC $125,157 $10,429 $2,406 $60.17 Victoria, BC $124,626 $10,385 $2,396 $59.92

Machine Learning Finance

Machine Learning Finance Salary

Q: How much does a Machine Learning Finance make?

The average annual pay for a machine learning finance in the United States is $92,631 a year — that works out to approximately $44.53 an hour. The middle 80% of Machine Learning Finances earn between $52,000 (10th percentile) and $135,000 (90th percentile) per year, depending on experience and employer.

Q: What are Top 5 Best Paying Related Machine Learning Finance Jobs in the United States?

We found several jobs related to Machine Learning Finance in the United States that pay more on average. Topping the list is Amazon Machine Learning Scientist at $41,884 (45.2%) above Machine Learning Finance. Job Title Annual Salary Monthly Pay Weekly Pay Hourly Wage Amazon Machine Learning Scientist $134,515 $11,209 $2,586 $64.67 Machine Learning Research Engineer $106,012 $8,834 $2,038 $50.97 Machine Learning Developer $79,911 $6,659 $1,536 $38.42 Machine Learning $42,584 $3,548 $818 $20.47 Red Panda $34,775 $2,897 $668 $16.72

$25K

$91K

$135.5K

$92,631

/year

$44.53

/hour

Machine Learning Finance Salary Comparison by Location

Nationwide

United States

$92,631

Columbus

Ohio

$89,473

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How much does a Machine Learning Finance make?

As of Jun 14, 2026, the average annual pay for a Machine Learning Finance in the United States is $92,631 a year.

Just in case you need a simple salary calculator, that works out to be approximately $44.53 an hour. This is the equivalent of $1,781/week or $7,719/month.

While ZipRecruiter is seeing annual salaries as high as $135,500 and as low as $25,000, the majority of Machine Learning Finance salaries currently range between $75,000 (25th percentile) to $109,000 (75th percentile) with top earners (90th percentile) making $135,000 annually across the United States. The average pay range for a Machine Learning Finance varies greatly (by as much as 34000), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.

A Machine Learning Finance in your area makes on average $89,473 per year, or $3,158 (3.409%) less than the national average annual salary of $92,631. Ohio ranks number 42 out of 50 states nationwide for Machine Learning Finance salaries.

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

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

We've identified 10 cities where the typical salary for a Machine Learning Finance job is above the national average. Topping the list is Santa Clara, CA, , with Sunnyvale, CA, and Kentville, NS, close behind in the second and third positions. Kentville, NS, beats the national average by $34,928 (37.7%), and Santa Clara, CA, furthers that trend with another $41,457 (44.8%) above the $92,631 average.

With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Machine Learning Finance appears to be exceedingly fruitful.

Finally, another factor to consider is the average salary for these top 10 cities varies very little at 7% between Santa Clara, CA, and Victoria, BC, , 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 Finance role.

City	Annual Salary	Monthly Pay	Weekly Pay	Hourly Wage
Santa Clara, CA	$134,088	$11,174	$2,578	$64.47
Sunnyvale, CA	$129,613	$10,801	$2,492	$62.31
Kentville, NS	$127,559	$10,629	$2,453	$61.33
Whitehorse, YT	$126,747	$10,562	$2,437	$60.94
Carcross, YT	$126,673	$10,556	$2,436	$60.90
Haines Junction, YT	$126,240	$10,520	$2,427	$60.69
North Cowichan, BC	$125,869	$10,489	$2,420	$60.51
Duncan, BC	$125,385	$10,448	$2,411	$60.28
Oak Bay, BC	$125,157	$10,429	$2,406	$60.17
Victoria, BC	$124,626	$10,385	$2,396	$59.92

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

We found a few related jobs that pay more than jobs in the Machine Learning Finance category.

For example Amazon Machine Learning Scientist jobs pay as much as $41,884 (45.2%) more than the average Machine Learning Finance salary of $92,631. If you're qualified, finding work as a Amazon Machine Learning Scientist may help you make more money than that of the average Machine Learning Finance position.

Job Title	Annual Salary	Monthly Pay	Weekly Pay	Hourly Wage
Amazon Machine Learning Scientist	$134,515	$11,209	$2,586	$64.67
Machine Learning Research Engineer	$106,012	$8,834	$2,038	$50.97
Machine Learning Developer	$79,911	$6,659	$1,536	$38.42
Machine Learning	$42,584	$3,548	$818	$20.47
Red Panda	$34,775	$2,897	$668	$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 Machine Learning Finance salary across the United States as of June 2026. Displays a bar chart with salary percentiles, a national average salary of $92,631 per year or $44.53 an hour, and a color-coded map showing state-by-state salary variations.

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