The median MLOps Engineer salary in United States is $182K in 2026, with a typical range from $166K to $191K. Pay has moved +12.0% year-on-year. San Francisco Bay Area currently leads city pay at $210K. This is base salary for permanent employees. Contracting instead? See day rates for this role below.
What does A MLOps Engineer do?
A MLOps Engineer is responsible for building and maintaining ML training and inference pipelines, model deployment workflows, and monitoring infrastructure using MLflow, Kubeflow, and Azure ML to productionise machine learning at scale.
Day-to-day responsibilities
National Median Salary
$182K
per yearUnited States annual benchmark • 2026
Salary Range (P25 – P75)
Data quality & confidence
Confidence Score
60%
YoY Momentum
+12.0%
Median salary benchmark
$182K
annual - 2026
Typical salary range
$166K-$191K
25th-75th percentile
Year-on-year pay movement
+12.0%
from market research
Forward pay outlook
$203K
Forecasted market posture
Permanent salary benchmarks for MLOps Engineer in United States, from the low end to the top of the range, based on published market compensation data.
Low
$155K
P25
$166K
Median
$182K
P75
$191K
High
$210K
After Federal Tax & FICA · single, standard payroll deductions
Gross/year
$166K
Take-home/year
$124,727
Per month
$10,394
Effective rate
24.9%
Gross/year
$182K
Take-home/year
$135,663
Per month
$11,305
Effective rate
25.5%
Gross/year
$191K
Take-home/year
$142,218
Per month
$11,851
Effective rate
25.5%
See the full band-by-band breakdown for MLOps Engineer
Adjust for your actual salary, see each federal income tax and FICA (no state tax modelled) band, and get monthly and weekly figures.
3-day/week office schedule · typical US commute assumptions
Break-even remote salary
$156,300
minimum to match $182K hybrid
Annual commute impact
−$17,606
costs + time value lost
Hours commuting/year
144 hrs
at 60 min/day, 3 days/wk
See the full break-even analysis for MLOps Engineer
Adjust commute costs, compare any two salaries, and find the exact remote salary you need.
Hiring outlook · remote rate · top employers
Hiring outlook
GrowingRemote / hybrid
82%
of roles offer remote or hybrid
Salary growth (YoY)
+12.0%
market is paying more
Full market demand breakdown for MLOps Engineer
Hiring drivers, remote rate detail, full employer list, and demand FAQs for the US.
Contract day rates available for this role
Median $126/hour, see full breakdown, city rates, and take-home calculator
Contract break-even
What day rate beats a $182K MLOps Engineer salary after tax?
Break-even day rate
$890/day
to match $182K permanent net
Permanent net take-home
$135,663/yr
$182K gross, 2026 federal + FICA rates
1099 sole proprietor, 220 days, self-employment tax, no state tax modelled. Net figures are estimates; use the calculators for exact results.
Market Demand & Outlook
Demand level
Low
Based on hiring signals relative to similar roles in this market.
Top hiring locations
Career outlook
Strong upward salary momentum
MLOps Engineer salaries are showing strong movement, with latest benchmark growth at +12.0%.
Seniority is the biggest single driver of MLOps Engineer pay in United States. Entry-level roles start at $124K, rising 146% to $305K at lead or principal level.
Junior
$124K
$124K-$124K middle band
Mid-level
$182K
$182K-$182K middle band
Senior
$240K
$240K-$240K middle band
Principal/Lead
$305K
$305K-$305K middle band
Certain technical skills push MLOps Engineer salaries in United States significantly above the $182K median. These are the most impactful skills to develop or highlight when negotiating.
MLflow or Kubeflow ML pipeline tools
+18%
salary premium vs median
Kubernetes and container orchestration
+16%
salary premium vs median
Python ML engineering
+14%
salary premium vs median
Azure ML or AWS SageMaker
+17%
salary premium vs median
Model monitoring and data drift detection
+15%
salary premium vs median
MLOps Engineer salary varies meaningfully by location. San Francisco Bay Area commands a +15% premium over the national benchmark ($210K), while Atlanta sits -15% at $155K. Location is worth factoring into any offer negotiation.
$202K
+11% vs national
$165K
-9% vs national
$197K
+8% vs national
$165K
-9% vs national
$185K
+2% vs national
$185K
+2% vs national
$182K
0% vs national
$168K
-8% vs national
$155K
-15% vs national
$182K
0% vs national
$210K
+15% vs national
How does MLOps Engineer pay compare to similar roles?
Explore United States salary intelligence
Market context for MLOps Engineers in United States
US AI Engineer Salary vs 10 Other Global Markets (2026)
A senior AI/ML Engineer on the US's $210,000 benchmark nets roughly $156,292 federal-only, before any state tax. See how that federal baseline compares, market by market, to the UK, Singapore, Dubai, and 7 other live markets once each one's own tax system runs the same benchmark salary.
UK vs US Take-Home Pay 2026: What Your Salary Is Really Worth After the Move
At an equivalent £90,000/$120,600 (FX roughly £1 = $1.34), a UK salary nets £62,757 a year (69.7% retained) versus a US federal-only net of $93,672 (77.7% retained, before any state tax). The US baseline wins at every level checked here, but that gap shrinks or reverses fast once you add California or New York state tax. Here's the full comparison, done correctly.
No-State-Tax States vs California & New York: What $150,000 Really Nets in 2026
A $150,000 salary nets $113,791 federal-only in Texas, Florida, or Washington. Move that same salary to California and state tax plus SDI take another $12,292, dropping net to roughly $101,499. New York takes $8,282, netting about $105,509. Here's exactly why the 'no state income tax' states can be worth more take-home than a bigger sticker-price offer in a high-tax state.
MLOps Engineers in United States earn a median salary of $182K in 2026, with a typical range from $166K at the 25th percentile to $191K at the 75th percentile. This benchmark reflects published market compensation data for annual pay across the United States market.
San Francisco Bay Area currently leads city pay at $210K, which is 15% above the national benchmark. City coverage for this role includes New York City, Chicago, Seattle, Denver, Boston, Washington, DC, Los Angeles, Austin, Atlanta, San Diego, San Francisco Bay Area, helping you compare local pay differences without needing separate city-role pages.
At experience level, entry roles start around $124K, senior roles sit near $240K, and lead-level roles reach about $305K. Demand is currently moderate for this role based on recent coverage and salary momentum signals.
The median MLOps Engineer salary in United States is $182K in 2026. The typical range runs from $166K at the 25th percentile to $191K at the 75th percentile, based on published market compensation data.
MLOps Engineer salaries have moved +12.0% year-on-year in United States.
MLOps Engineer salaries vary across United States. San Francisco Bay Area leads at $210K (+15% vs the national benchmark), while Atlanta sits at $155K. Use the city breakdown above to compare all locations.
A MLOps Engineer earning the median $182K gross in United States will take home a net amount after income tax and other deductions. Use the PayMetric Labs take-home calculator on this page for an exact breakdown by tax band.
Principal/Lead-level MLOps Engineers in United States earn the most, with a median of $305K, compared to $124K at entry level. Seniority is the strongest single driver of pay in this role.
On a 3-day hybrid schedule with a typical US commute ($12/day travel, 60-minute round trip, daily meal premium, annual wardrobe costs), your true net income at $182K is approximately $118,057 per year, compared to $135,663 net without any commute. The commute costs $17,606 per year in direct expenses and lost time. A fully remote role paying $156,300 would leave you equally well off.
Assuming a 3-day hybrid schedule with typical commute costs, you would need a remote salary of at least $156,300 to match the true net value of a $182K hybrid MLOps Engineer role in the US. For a 5-day fully in-office role, the break-even remote salary rises to $139,600, as the higher office frequency increases travel, meal, and time costs significantly.
On a 3-day hybrid schedule with a 60-minute round trip, a MLOps Engineer in the US spends approximately 144 hours commuting per year, equivalent to 18 full working days. Valued at the implied hourly rate for a $182K salary ($95/hr), that time is worth $13,650 annually.
As more employers in the US reintroduce hybrid or full in-office mandates in 2026, the true value of a MLOps Engineer salary depends increasingly on the number of required office days. At $182K, each additional day in the office costs roughly $5,702 per year in direct and time costs (moving from 3 to 5 days). Candidates evaluating offers should compare true net income rather than gross salary alone.
This benchmark is derived from verified market compensation data and is rated Moderate Confidence. High Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.
An indicative year-over-year signal of +12.0% is available from the latest market research for this role. This figure is directional market research rather than a matched prior-year observation in our own dataset.
Research-reported year-over-year movement is an indicative 12% (not a matched prior-year observation).
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