Skip to salary data
Salaries

MLOps Engineer.

Los Angeles.

$151,000

median salary, 14% above the national average

$112,000 to $197,000. Last updated August 2026.

Close the job.

Get the job.

Data points to own the conversation.

If you are evaluating a MLOps Engineer offer in Los Angeles, CA, here is the reality: $112,000 to $197,000, with $151,000 as the midpoint. 14% above the national average. Experience with ML pipeline orchestration (Kubeflow, MLflow, Vertex AI), model monitoring in production, and infrastructure automation are the key salary levers. Do not accept the first number. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$112,000

per year

Median

$151,000

per year

75th Percentile

$197,000

per year

Where do you fall?

$112,000$197,000

Orbyt estimate for MLOps Engineer in Los Angeles, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $160,920 for Software Developers (SOC 15-1252) in the Los Angeles-Long Beach-Anaheim, CA metropolitan area, based on 55,540 employed workers (May 2025 release).

10th percentile

$98,270

25th percentile

$127,530

Median

$160,920

75th percentile

$191,540

90th percentile

$223,150

Workers surveyed

55,540

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Software Developers (SOC 15-1252) rather than MLOps Engineer specifically. The Los Angeles range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1252

Salary by experience.

The gap between entry and lead level is typically $136,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$98,000

to $121,000

Mid (3-5 yrs)

$128,000

to $159,000

Senior (6-9 yrs)

$166,000

to $196,000

Lead (10+ yrs)

$189,000

to $234,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $38,000 to the total package.

Base

$151,000

Equity

$21,000

Bonus

$14,000

Signing

$3,000

Estimated total: $189,000

How Los Angeles compares.

Los Angeles, CA

$151,000

Cost of living: 18% above average

National Average

$133,000

Los Angeles is $18,000 above

MLOps Engineer salary by city.

MLOps Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$187,000$139,000 to $245,0001.38x$136,000
Honolulu, HI$176,000$131,000 to $231,0001.30x$135,000
New York, NY$175,000$131,000 to $229,0001.28x$137,000
San Francisco, CA$172,000$128,000 to $226,0001.35x$127,000
Boston, MA$169,000$126,000 to $221,0001.22x$139,000
Washington DC, DC$163,000$121,000 to $213,0001.25x$130,000
Seattle, WA$158,000$118,000 to $207,0001.24x$127,000
San Diego, CA$157,000$117,000 to $206,0001.17x$134,000
Newark, NJ$157,000$117,000 to $205,0001.18x$133,000
Los Angeles, CA$151,000$112,000 to $197,0001.18x$128,000

See all 81 cities for MLOps Engineer →

Salary by role in Los Angeles.

Salary comparison by role in Los Angeles
RoleMedianRange
CTO$368,000$287,000 to $479,000
General Counsel$327,000$255,000 to $425,000
CEO$321,000$234,000 to $444,000
AI Engineer$152,000$113,000 to $199,000
MLOps Engineer$151,000$112,000 to $197,000
AI Safety Engineer$151,000$112,000 to $197,000
Conversational AI Engineer$151,000$112,000 to $197,000
DevOps Engineer$151,000$117,000 to $191,000

What you should know.

The MLOps Engineer landscape in Los Angeles is not what most salary sites will tell you. Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The city's diverse economy spans aerospace, healthcare, fashion, and gaming. LA offers strong salaries that, while below San Francisco levels, pair with a broader lifestyle appeal and lower housing costs relative to the Bay Area. 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 Los Angeles, those numbers run higher. The cost of living here is 18% 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: california's 13.3% top state income tax rate applies to LA earners as well. There is no city income tax, but the high state rate makes take home pay lower than cities in no income tax states. When someone quotes you $151,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers. The range for MLOps Engineers in Los Angeles runs from $112,000 to $197,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

Interactive

Is your offer competitive?

Enter your MLOps Engineer offer to see where you stand in Los Angeles.

$

25th

$112,000

Median

$151,000

75th

$197,000

Considering a related role?

  • An AI Engineer in Los Angeles earns $152,000 (1% more)
  • The highest-paying role in Los Angeles is CTO at $368,000
  • See all ai operations roles tracked in Orbyt Intelligence

Common questions.

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.

In 2026, the average MLOps Engineer salary in Los Angeles, CA is $151,000. The estimated range runs from $112,000 to $197,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The city's diverse economy spans aerospace, healthcare, fashion, and gaming. For MLOps Engineers specifically, experience with ml pipeline orchestration (kubeflow, mlflow, vertex ai), model monitoring in production, and infrastructure automation are the key salary levers, which signals sustained demand. The current compensation range of $112,000 to $197,000 reflects a market that is competing for talent.

Los Angeles's cost of living is 18% above the national average. Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $151,000 salary here buys a different lifestyle than the same number in another market.

Relevant certifications can add 5 to 15% to a MLOps Engineer's base salary in Los Angeles. Specifically, experience with ml pipeline orchestration (kubeflow, mlflow, vertex ai), model monitoring in production, and infrastructure automation are the key salary levers. In a market where the range spans $112,000 to $197,000, certifications often bridge the gap between the median and the top of the range.

MLOps Engineer salary in other cities.

Other salaries in Los Angeles.

Jump to nearby roles and cities most relevant to MLOps Engineers in Los Angeles.

Related tools.

Do you work as a mlops engineer in Los Angeles?

Your individual figure is never published. Submissions appear only as aggregate percentiles, and nothing is shown for a role and city until at least five people have reported. It is stored against your account, which is what keeps the dataset clean.

Add your salary

Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"MLOps Engineer Salary in Los Angeles, CA." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/mlops-engineer/los-angeles

Want this data on your site? Embed the salary widget. One script tag, free forever.

Share

LinkedInX

Was this helpful?

You have the data.

Now own the conversation.

Start tracking your offers

Related tools

Salary CalculatorTake-Home PayTotal CompensationInterview PrepResume ScoreOrbyt JobsIntelligence API