MLOps Engineer.
Richmond.
$162,000
median salary, 1% above the national average
$121,000 to $212,000. Last updated April 2026.
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Data points to own the conversation.
Here is what MLOps Engineers actually make in Richmond: $121,000 at the 25th percentile, $162,000 at the median, and $212,000 at the 75th. That is 1% above the national average. Richmond combines a strong government and defense sector with growing technology and financial services industries. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $146,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$105,000
to $130,000
Mid (3-5 yrs)
$138,000
to $170,000
Senior (6-9 yrs)
$178,000
to $211,000
Lead (10+ yrs)
$203,000
to $251,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $41,000 to the total package.
Base
$162,000
Equity
$23,000
Bonus
$15,000
Signing
$3,000
Estimated total: $203,000
How Richmond compares
Richmond, VA
$162,000
Cost of living: 1% above average
National Average
$160,000
Richmond is $2,000 above
MLOps Engineer salary by city
Salary by role in Richmond
What you should know
If you are interviewing for MLOps Engineer roles in Richmond, here is what you are walking into. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. Experience with ML pipeline orchestration (Kubeflow, MLflow, Vertex AI), model monitoring in production, and infrastructure automation are the key salary levers. Engineers who can reduce model deployment time from weeks to hours earn premiums. Understanding both the ML lifecycle and cloud infrastructure deeply is what separates mid level from senior compensation.
Junior MLOps engineers start at $105,000 to $135,000, reaching mid level at $140,000 to $180,000 in two to three years. Senior MLOps engineers earn $180,000 to $240,000. Staff level ML platform engineers at top companies can exceed $300,000 in total compensation, with a path into ML infrastructure leadership. In Richmond, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Equity at AI companies adds $20,000 to $90,000+ annually. Bonuses of 10 to 20% are typical. On call compensation is common since MLOps engineers maintain production ML systems. Benefits frequently include cloud certification sponsorship, training budgets, and flexible work arrangements. And on the tax side: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $162,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for MLOps Engineers in Richmond runs from $121,000 to $212,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Machine Learning Engineer in Richmond earns $163,000 (1% more)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
MLOps Engineer salary in other cities
Other salaries in Richmond
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