Salary Data

MLOps Engineer Salary in Chicago

$171,000

median salary, 7% above the national average

According to Orbit's 2026 salary analysis, the average MLOps Engineer salary in Chicago is $171,000. Salaries range from $128,000 (25th percentile) to $225,000 (75th percentile), adjusted for Chicago's cost of living.

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Salary range

25th Percentile

$128,000

per year

Median

$171,000

per year

75th Percentile

$225,000

per year

How Chicago compares

Chicago, IL

$171,000

Cost of living: 7% above average

National Average

$160,000

Chicago is $11,000 above

MLOps Engineer job market in Chicago

Chicago market overview

Chicago's economy is anchored by finance, manufacturing, and a rapidly expanding tech sector. The city has become a major hub for fintech, enterprise SaaS, and e-commerce. With lower living costs than coastal cities and a deep talent pool from top universities, Chicago offers strong salary to cost of living ratios for professionals across industries.

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 Chicago

Illinois has a flat 4.95% state income tax. Chicago does not levy a separate city income tax, making the overall burden moderate compared to coastal metros.

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 Chicago

Financial ServicesManufacturingTechnologyHealthcareTransportation & Logistics

Negotiating in Chicago

Reference the Bay Area or NYC salary band for your role, then negotiate a modest discount. Chicago employers routinely offer 85 to 90% of coastal pay.

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.

MLOps Engineers in Chicago earn between $128,000 and $225,000 in 2026. The median salary is $171,000. Compensation varies based on experience level, company size, specific skills, and whether the position includes equity, bonuses, or other benefits.

Start by understanding the market range: $128,000 to $225,000 for MLOps Engineers in Chicago. 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 Chicago

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