MLOps Engineer.
Charleston.
$125,000
median salary, 22% below the national average
$94,000 to $164,000. Last updated April 2026.
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Data points to own the conversation.
A MLOps Engineer in Charleston earns a median of $125,000 in 2026. That is 22% below the national average. The range runs from $94,000 to $164,000, and where you land depends on your experience, your skills, and how well you negotiate. Experience with ML pipeline orchestration (Kubeflow, MLflow, Vertex AI), model monitoring in production, and infrastructure automation are the key salary levers.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $113,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$81,000
to $100,000
Mid (3-5 yrs)
$106,000
to $131,000
Senior (6-9 yrs)
$138,000
to $163,000
Lead (10+ yrs)
$156,000
to $194,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $32,000 to the total package.
Base
$125,000
Equity
$18,000
Bonus
$11,000
Signing
$3,000
Estimated total: $157,000
How Charleston compares
Charleston, WV
$125,000
Cost of living: 22% below average
National Average
$160,000
Charleston is $35,000 below
MLOps Engineer salary by city
Salary by role in Charleston
What you should know
Here is what the MLOps Engineer market actually looks like in Charleston. Charleston is West Virginia's capital and largest city, with an economy driven by government, energy, healthcare, and chemical manufacturing. The city offers some of the lowest living costs in the nation. Federal and state government roles provide stable employment anchors. 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 Charleston, your dollars stretch further. Cost of living runs 22% below the national average, which means even a median salary buys a stronger lifestyle.
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: west Virginia's top income tax rate is 5.12%. Charleston has no city income tax. The very low cost of living means even moderate salaries deliver strong purchasing power. When someone quotes you $125,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Benchmark against federal government pay scales. Charleston employers often align with GS grades, and understanding the federal pay system gives you negotiating leverage. The range for MLOps Engineers in Charleston runs from $94,000 to $164,000. 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 Full Stack AI Developer in Charleston earns $126,000 (1% more)
- The highest-paying role in Charleston is Chief AI Officer at $251,000
Common questions.
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