MLOps Engineer.
Dallas.
$168,000
median salary, 5% above the national average
$126,000 to $221,000. Last updated April 2026.
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Data points to own the conversation.
The median MLOps Engineer salary in Dallas is $168,000, 5% above the national average. Entry level starts near $126,000. Experienced professionals push past $221,000. Dallas is a major corporate hub with dozens of Fortune 500 headquarters spanning telecom, finance, defense, and retail. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $151,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$109,000
to $134,000
Mid (3-5 yrs)
$143,000
to $176,000
Senior (6-9 yrs)
$185,000
to $218,000
Lead (10+ yrs)
$210,000
to $260,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $42,000 to the total package.
Base
$168,000
Equity
$24,000
Bonus
$15,000
Signing
$3,000
Estimated total: $210,000
How Dallas compares
Dallas, TX
$168,000
Cost of living: 1% above average
National Average
$160,000
Dallas is $8,000 above
MLOps Engineer salary by city
Salary by role in Dallas
What you should know
If you are interviewing for MLOps Engineer roles in Dallas, here is what you are walking into. Dallas is a major corporate hub with dozens of Fortune 500 headquarters spanning telecom, finance, defense, and retail. The metro's low cost of living and no state income tax make it a magnet for corporate relocations. Tech salaries in Dallas have risen quickly, particularly in fintech, cybersecurity, and enterprise software. 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 Dallas, 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: texas levies no state income tax, giving Dallas workers a meaningful take home pay advantage. Local property taxes are above the national average, typically around 2% of assessed value. When someone quotes you $168,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Highlight the corporate headquarters density in DFW. Employers here compete fiercely for talent and often match or exceed offers from companies across the metroplex. The range for MLOps Engineers in Dallas runs from $126,000 to $221,000. 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 Feature Store Engineer in Dallas earns $167,000 (1% less)
- The highest-paying role in Dallas is Chief AI Officer at $322,000
Common questions.
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