As of November 10, 2026, the median starting salary is $182,000 a year, measured on the 9 postings that publish an annual salary range in US dollars. Compare with AI salaries by field.
MLOps jobs in Washington DC: 11 open roles
Updated Nov 10, 2026
Live postings that name MLOps in the job title or description, located in Washington DC, United States. Each one is rated from Little AI to Builds AI for how much AI is in the daily work.
- open roles
- 11
- Build or work on AI (AI Level 3–4)
- 9
- remote
- 5
Median starting salary: $182,000.
AI level of MLOps jobs in Washington DC
- ●●●● Builds AI1 (9%)
- ●●●○ Works on AI8 (73%)
- ●●○○ Uses AI1 (9%)
- ●○○○ Little AI1 (9%)
Companies hiring for MLOps in Washington DC
MLOps jobs in other cities
All jobs in other cities of United States
Roles that ask for it
Common questions
How much do MLOps jobs in Washington DC pay?
How much AI work do MLOps jobs in Washington DC involve?
As of November 10, 2026, of the 11 live postings: Builds AI ●●●●: 1 (9%); Works on AI ●●●○: 8 (73%); Uses AI ●●○○: 1 (9%); Little AI ●○○○: 1 (9%). See what each level means.
Which companies are hiring for MLOps jobs in Washington DC?
As of November 10, 2026, by number of live postings: Databricks (7), Helsing (2), CoreWeave (1), Scale AI (1).
Which other cities have MLOps jobs?
As of November 10, 2026, cities with their own list, by number of live postings: New York (64), San Francisco (52), Santa Clara (20), Seattle (20), Boston (15).
Which skills come up most in MLOps jobs in Washington DC?
As of November 10, 2026, named in the title or description, with the number of postings that mention each: Python (11), AWS (10), Azure (9), Google Cloud (9), JavaScript (7).
Which roles are open in MLOps jobs in Washington DC?
As of November 10, 2026, by number of live postings: Forward deployed engineer (7), Machine learning engineer (1), Software engineer (1), Solutions architect (1).
A posting counts when it names MLOps in its title or description. Counted on live postings; the list refreshes every few hours. Levels follow our method.