MLOps Engineer.
Boston.
$203,000
median salary, 27% above the national average
$152,000 to $266,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Here is what MLOps Engineers actually make in Boston: $152,000 at the 25th percentile, $203,000 at the median, and $266,000 at the 75th. That is 27% above the national average. Boston's job market is powered by world class universities, a thriving biotech corridor, and established finance and healthcare sectors. The number on your offer letter will depend on what you bring and how you ask.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $183,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$132,000
to $162,000
Mid (3-5 yrs)
$173,000
to $213,000
Senior (6-9 yrs)
$223,000
to $264,000
Lead (10+ yrs)
$254,000
to $315,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $50,000 to the total package.
Base
$203,000
Equity
$28,000
Bonus
$18,000
Signing
$4,000
Estimated total: $253,000
How Boston compares
Boston, MA
$203,000
Cost of living: 22% above average
National Average
$160,000
Boston is $43,000 above
MLOps Engineer salary by city
Salary by role in Boston
What you should know
Before you negotiate a MLOps Engineer offer in Boston, understand the terrain. 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. 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 Boston, those numbers run higher. The cost of living here is 22% above average, and employers adjust to compete.
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: 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. When someone quotes you $203,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Emphasize specialized credentials or advanced degrees. Boston employers, especially in biotech and finance, place a premium on educational pedigree and certifications. The range for MLOps Engineers in Boston runs from $152,000 to $266,000. 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 AI Backend Engineer in Boston earns $204,000 (0% more)
- The highest-paying role in Boston is Chief AI Officer at $390,000
Common questions.
MLOps Engineer salary in other cities
Other salaries in Boston
Related
Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
Want this data on your site? Embed the salary widget — one script tag, free forever.