AI Career Hub

MLOps Engineer Jobs

Build the infrastructure that powers production ML. We aggregate MLOps positions focused on pipelines, deployment, and model lifecycle management.

Browse MLOps JobsBrowse all jobs
Market snapshot
Tap to expand
531
jobs
Salary distribution
coverage: 100%
<$100k
0
$100–150k
2
$150–200k
8
$200–250k
5
$250k+
5
median$204k
MLOps Jobs
531+
Focus
Infrastructure
Avg Salary
$215k
Updated
Daily

Latest MLOps Positions

Showing 10 of 531 opportunities

WE

Enterprise AI Platform - Agentic AI Safety & Security Lead

Wells Fargo
Today
Minneapolis, Minnesota, United StatesFull-time
$191k – 305k/yr
View
WE

AI Technical Project Manager

Wells Fargo
Today
Irving, Texas, United StatesFull-time
$139k – 260k/yr
View
BR

Senior Staff Software Engineer - Agentic AI

Bread Financial
Today
Chadds Ford, Pennsylvania, United StatesFull-time
$156k – 333k/yr
View
EC

Staff Data Scientist - AI Products

EchoStar
Today
Emeryville, California, United StatesFull-time
$154k – 208k/yr
View
ST

MLOps Engineer

Stanford Health Care
Today
Newark, California, United StatesFull-time
$165k – 218k/hr
View
EC

Staff Data Scientist - AI Products

EchoStar
Today
Sausalito, California, United StatesFull-time
$154k – 208k/yr
View
CA

AI-First Architect

Capgemini
Today
United StatesFull-time
$82k – 193k/yr
View
AN

Data Center Electrical Engineer

Anthropic
Today
Remote-Friendly, United StatesFull-time
$320k – 405k/yr
View
RE

Staff Software Engineer, Agent Platform

Replit
Today
Remote (USA), United StatesFull-time
$250k – 365k/yr
View
ST

AI Developer

Steampunk
Yesterday
McLean, Virginia, United StatesFull-time
$145k – 185k/yr
View
View all 531 mlops positions

Why MLOps?

Production ML

  • Build scalable ML training and serving pipelines
  • Implement CI/CD for machine learning models
  • Design feature stores and model registries
  • Monitor model performance and detect drift
  • Optimize inference latency and cost

Growing Field

  • Critical role as companies scale ML adoption
  • Blend of ML knowledge and DevOps skills
  • Work with Kubernetes, Kubeflow, MLflow, and more
  • High demand across all industries
  • Path to ML platform leadership

MLOps Compensation

MLOps engineers are increasingly valuable as companies scale ML. Senior MLOps roles earn $180k-$320k+ at top companies, with strong demand continuing to grow.

Related MLOps Roles

Machine LearningData EngineerPlatform EngineerDevOpsKubernetesAWSPythonRemote

Ready to Find Your Next MLOps Role?

Join thousands of AI professionals who have found their dream jobs through AI Career Hub.

Start Browsing Jobs