Salary Data

MLOps Engineer Salary in Boston

$195,000

median salary, 22% above the national average

According to Orbit's 2026 salary analysis, the average MLOps Engineer salary in Boston is $195,000. Salaries range from $146,000 (25th percentile) to $256,000 (75th percentile), adjusted for Boston's cost of living.

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Salary range

25th Percentile

$146,000

per year

Median

$195,000

per year

75th Percentile

$256,000

per year

How Boston compares

Boston, MA

$195,000

Cost of living: 22% above average

National Average

$160,000

Boston is $35,000 above

MLOps Engineer job market in Boston

Boston market overview

Boston's job market is powered by world class universities, a thriving biotech corridor, and established finance and healthcare sectors. The Kendall Square area is one of the most concentrated biotech hubs globally. Tech salaries in Boston are competitive with West Coast markets, particularly for roles that intersect with life sciences, AI, and robotics.

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 Boston

Massachusetts has a flat 5% income tax on most earnings, plus a 4% surtax on income above $1 million. There is no city income tax in Boston, keeping the total burden moderate.

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 Boston

Biotech & Life SciencesHigher EducationFinancial ServicesHealthcareTechnology

Negotiating in Boston

Emphasize specialized credentials or advanced degrees. Boston employers, especially in biotech and finance, place a premium on educational pedigree and certifications.

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.

The MLOps Engineer job market in Boston remains active with steady demand from employers across multiple industries. Competition for top talent drives salaries and benefits upward. Candidates who demonstrate specialized skills and quantifiable achievements tend to receive multiple offers and stronger negotiating positions.

Start by understanding the market range: $146,000 to $256,000 for MLOps Engineers in Boston. 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 Engineers in Boston earn between $146,000 and $256,000 in 2026. The median salary is $195,000. Compensation varies based on experience level, company size, specific skills, and whether the position includes equity, bonuses, or other benefits.

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