Salary Data

MLOps Engineer Salary in Austin

$165,000

median salary, 3% above the national average

According to Orbit's 2026 salary analysis, the average MLOps Engineer salary in Austin is $165,000. Salaries range from $124,000 (25th percentile) to $216,000 (75th percentile), adjusted for Austin's cost of living.

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Salary range

25th Percentile

$124,000

per year

Median

$165,000

per year

75th Percentile

$216,000

per year

How Austin compares

Austin, TX

$165,000

Cost of living: 3% above average

National Average

$160,000

Austin is $5,000 above

MLOps Engineer job market in Austin

Austin market overview

Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities.

What drives MLOps Engineer salaries

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.

Beyond base salary

Total compensation

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.

Tax considerations in Austin

Texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value.

Career progression

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.

Top industries in Austin

TechnologySemiconductorsClean EnergyHealthcareGovernment

Negotiating in Austin

Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher.

MLOps Engineer salary FAQ

MLOps engineers typically earn 15 to 25% more than traditional DevOps engineers at similar experience levels. The premium reflects the specialized ML lifecycle knowledge required, including model versioning, experiment tracking, feature stores, and model monitoring. The combination of infrastructure and data science skills is rare and valuable.

Hands on experience with Kubernetes and at least one ML platform (MLflow, Kubeflow, or SageMaker) has the strongest salary impact. Cloud certifications (AWS ML Specialty, GCP ML Engineer) add 5 to 10%. Building automated retraining pipelines and model monitoring systems that prevent degradation demonstrates senior level capability.

Austin offers competitive compensation for MLOps Engineers relative to its cost of living. The local job market, industry presence, and quality of life all factor into whether Austin is the right fit. Consider using Orbit's Salary Playbook to compare offers across cities and factor in your personal financial situation.

Start by understanding the market range: $124,000 to $216,000 for MLOps Engineers in Austin. Research the specific company, prepare data points about your experience, and consider total compensation including equity, bonuses, and benefits. Orbit's Salary Playbook provides personalized negotiation strategies based on your specific offer.

MLOps Engineer salary in other cities

Other salaries in Austin

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