What is the median MLOps Engineer salary in Seattle?

On Ganloss, the observed median is about $167,500/year for MLOps Engineer roles in Seattle, with a range of $140,000–$195,000 (3 listings with pay shown).

How do I negotiate pay as a MLOps Engineer?

Use Ganloss listings and role guides as comparables, quantify production impact, and run our salary negotiation simulator before you counter an offer.

Are these salary numbers reliable?

They come from Ganloss job posts with visible compensation. They reflect the current US hiring market on the platform, not a national survey.

Is MLOps Engineer pay higher in San Francisco than Seattle?

SF and NYC often show 10–20% higher medians, but cost of living and remote/hybrid options rebalance the math. Compare city salary guides on Ganloss.

Freelance vs full-time: how do rates compare?

As a contractor, target a day rate that covers taxes, gaps between gigs, and time off (often 1.3–1.5× the equivalent W-2 daily rate). Ranges here focus on salaried roles with listed pay.

Salary guide

MLOps Engineer salary in Seattle (2026)

3 min readUpdated September 2026

How much does a mlops engineer make in Seattle? Median $167,500, range $140,000–$195,000. Based on 3 Ganloss listings · Washington.

What does a mlops engineer earn in Seattle in 2026? This guide uses 3 Ganloss listings with visible pay in Washington. Median: $167,500/year — observed range $140,000–$195,000.

Ranges observed on Ganloss

Among open listings with visible pay in Seattle, the median total compensation for MLOps Engineer roles is about $167,500/year. Observed spread: $140,000–$195,000, depending on experience, contract type (full-time, contract), and seniority.

MLOps Engineer market in Seattle

Seattle is an active AI hiring market in Washington. Recruiters post full-time, contract, and sometimes freelance roles on Ganloss. Compare this guide with live listings to refine your range by seniority and company type (startup, agency, enterprise).

Pay trends and 2026 outlook

GenAI, production LLM, and MLOps profiles still command a premium. Mid to senior moves often add 15–25% on median pay. Hybrid or full remote can offset a lower base versus high-cost hubs like San Francisco or NYC.

What moves the number

Stack (LLM, MLOps, cloud), remote vs on-site, company stage (startup vs enterprise), and profile scarcity. Production GenAI and LLM roles still command a premium in 2026. Local demand in Seattle (Seattle is a major cloud and AI hub. Amazon, Microsoft, and a deep startup ecosy…) also matters.

Negotiate the full package

Bring comparables (Ganloss listings, role guides), highlight shipped production work, and discuss equity, bonus, PTO, and learning budget—not just base pay. Use our salary negotiation tool before the final conversation.

Go further

FAQ

What is the median MLOps Engineer salary in Seattle?: On Ganloss, the observed median is about $167,500/year for MLOps Engineer roles in Seattle, with a range of $140,000–$195,000 (3 listings with pay shown).
How do I negotiate pay as a MLOps Engineer?: Use Ganloss listings and role guides as comparables, quantify production impact, and run our salary negotiation simulator before you counter an offer.
Are these salary numbers reliable?: They come from Ganloss job posts with visible compensation. They reflect the current US hiring market on the platform, not a national survey.
Is MLOps Engineer pay higher in San Francisco than Seattle?: SF and NYC often show 10–20% higher medians, but cost of living and remote/hybrid options rebalance the math. Compare city salary guides on Ganloss.
Freelance vs full-time: how do rates compare?: As a contractor, target a day rate that covers taxes, gaps between gigs, and time off (often 1.3–1.5× the equivalent W-2 daily rate). Ranges here focus on salaried roles with listed pay.

Related jobs

MLOps Engineer
Salesforce 4.4 · 328 reviews
Model deployment and monitoring for Einstein platform services — Seattle hub.
MLOpsKubernetesPythonSeattle
Seattle, WAHybrid
$145k – $190k / year
Easy applyFull-time18 applicants
Posted 3 days agoQuick preview
MLOps Engineer
Anduril 4.5 · 200 reviews
Automate model delivery pipelines for defense AI programs.
KubernetesPythonCI/CDML
Seattle, WAHybrid
$140k – $195k / year
Easy applyFull-time47 applicants
Posted 6 days agoQuick preview
MLOps Engineer
Databricks 4.5 · 200 reviews
Scale model registry, deployment, and monitoring for enterprise ML workloads.
MLflowKubernetesCI/CDPython
Seattle, WAHybrid
$145k – $195k / year
Easy applyFull-time22 applicants
Posted 6 days agoQuick preview

Browse all AI jobs

Related guides

AI job alerts by email

Daily digest · unsubscribe · Privacy (GDPR-ready)