AI Engineer vs MLOps

Put two roles head to head — any role, in any location or worldwide-remote.

Side A

Side B

AI Engineer pays about 4% more at the median.

Side-by-side distribution

AI Engineer MLOps
$200k
$191.8k
$107.2k box = 25th–75th · whiskers = 10th–90th $292.7k

AI Engineer

$200,000

median · per year, annualized USD

Median over time ▲ +3.9%
$192,500 $200,000
$162k 25th
$200k Median
$237.5k 75th
$120k
$279.9k
Box 25th–75th · whiskers 10th–90th Full range $5k – $1,177k · outliers off-axis
Disclosing
39.1%
Live roles
5,349

MLOps

$191,750

median · per year, annualized USD

Median over time ▼ -7.6%
$207,500 $191,750
$153.9k 25th
$191.8k Median
$225.7k 75th
$141.3k
$256.4k
Box 25th–75th · whiskers 10th–90th Full range $130k – $361k · outliers off-axis
Disclosing
25.2%
Live roles
139

Top companies hiring

Company Median Roles
Mindrift $72,800 47
OpenAI $247,000 36
Unity Technologies $198,550 34
Pinterest $260,867 22
Motional $200,500 22
SE Sezzle $70,499 22
Handshake $252,500 20
Databricks $221,553 20

Top companies hiring

Company Median Roles
Grafana Labs $157,157 4
Garner Health $297,500 2
Torc Robotics $249,000 2
Profluent $265,000 1
Quanata $256,500 1
Anduril Industries $256,000 1
Roku $254,875 1
LVT $242,650 1

AI Engineer salary by location

Location Median Roles
Dublin $260,000 3
San Francisco $225,000 483
Sydney $218,750 6
New York $212,500 374
Seattle $206,450 96
Bangalore $194,838 3
Boston $194,000 91
Austin $190,000 41
Singapore $187,200 8
Chicago $183,875 36

MLOps salary by location

Location Median Roles
New York $270,500 3

AI Engineer vs MLOps: which pays more?

The median for AI Engineer is $200,000 per year (typically $162,000–$237,500), versus $191,750 for MLOps ($153,940–$225,688). That puts AI Engineer about 4% ahead at the median.

Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so AI Engineer and MLOps are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.

See full salary data

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