Skill
MLOps
Data Science, Analytics and AI/ML
MLOps (Machine Learning Operations) is a set of practices that combines machine learning, DevOps, and data engineering to reliably build, deploy, and maintain ML models in production. It covers automation of training pipelines, continuous integration/delivery for models, monitoring, and governance to ensure models remain accurate and performant over time. ML engineers and platform teams use MLOps practices and tools like MLflow, Kubeflow, and SageMaker to bridge the gap between experimental model development and production reliability.
MLOps in the job market
Last checked October 28, 2026
- Open roles
- 46
- Employers
- 26
- Median pay
- $244,000
- Disclose pay
- 67%
on Career App
hiring for it
from 31 roles
of these roles
Open roles requiring MLOps (46)
Senior Data Scientist
Ibotta
Full-time · Denver, CO · $144,000 – $165,000 · Remote
Ibotta's Client Data & Measurement team is hiring a Senior Data Scientist to build machine learning models and analytical solutions that drive business growth. This role suits experienced practitioners who can navigate complex data ecosystems, mentor others, and translate statistical insights into strategic recommendations.
Listed on Ibotta’s careers site · Apply there ↗
Fleet Scheduler Data Scientist
AST SpaceMobile
Lanham, MD
This role designs and deploys AI-powered optimization algorithms to schedule and control a satellite network, working across machine learning, combinatorial optimization, and aerospace systems. It suits data scientists with production ML experience who can bridge complex physics-driven constraints and real-time decision systems.
Listed on AST SpaceMobile’s careers site · Apply there ↗
Director, Product Management - Data Science
Bend Studio
Full-time · San Mateo, CA · $273,000 – $409,600
Lead the data science product strategy across PlayStation's ecosystem, managing a portfolio of analytics and machine learning products that drive player engagement and business decisions. This role suits experienced product leaders who understand both the technical foundations of data science and how to translate analytical capabilities into measurable business outcomes at scale.
Listed on Bend Studio’s careers site · Apply there ↗
Product Insights, Software Engineering Manager
BlackSky
Full-time · Seattle, WA · $165,000 – $205,000 · Remote
Lead a newly formed team building scalable product pipelines that deliver advanced analytics and satellite imagery insights directly through BlackSky's platform. This role suits experienced engineering managers with cloud infrastructure expertise and a track record of operating mission-critical systems who want to bridge technical excellence with cross-functional product delivery.
Listed on BlackSky’s careers site · Apply there ↗
Senior AI Engineer (Remote)
The Home Depot
Full-time · Atlanta, GA · $100,000 – $250,000 · Remote
This role designs and deploys production AI systems using large language models and agentic workflows at scale. It suits experienced machine learning engineers and software architects who want to bridge AI research with enterprise reliability and business impact.
Listed on The Home Depot’s careers site · Apply there ↗
AI Principal Engineer
Voya Financial
Full-time · $192,580 – $240,720
Lead the design and delivery of production-grade AI systems at scale, owning major technical components and influencing architectural decisions across the organization. This role suits experienced engineers ready to mentor others and operate with high autonomy while navigating the constraints of a regulated financial services environment.
Listed on Voya Financial’s careers site · Apply there ↗
Senior Machine Learning & Autonomy Engineering
AeroVironment
Full-time · San Diego, CA · $123,500 – $188,500
A machine learning engineer role focused on developing detection algorithms for Counter-UAS systems, working with signal processing and large RF datasets to identify drone threats. Suited for someone with a strong foundation in DSP and deep learning who wants to solve real-world defense challenges at the intersection of signal processing and MLOps.
Listed on AeroVironment’s careers site · Apply there ↗
Data Science Senior Manager
SAP
Full-time · Newport Beach, CA · $244,700 – $553,900
Lead SAP's Data Science and AI strategy for the Business Network, building foundational data infrastructure and reasoning engines while managing multiple technical teams. This role suits experienced data science leaders who want to shape AI systems at enterprise scale and mentor high-performing teams.
Listed on SAP’s careers site · Apply there ↗
Sr. Technical Program Manager, Infrastructure Engineering
Moderna
Full-time · $145,900 – $234,200
This role leads large-scale infrastructure modernization and AI-readiness programs across Moderna's global operations, coordinating multiple engineering teams and managing vendors to rationalize cloud and on-premises systems. It suits experienced program managers with infrastructure domain knowledge who thrive in complex, matrixed environments and can drive transformational initiatives through influence and structured processes.
Listed on Moderna’s careers site · Apply there ↗
Platform Delivery Lead, Data & AI
Gilead Sciences
Full-time · Raleigh, NC · $146,200 – $189,200
Lead technical delivery and operations of Gilead's enterprise data and AI platform, overseeing engineering teams building scalable, reusable capabilities on AWS and Databricks. This role suits experienced platform or data engineering leaders who excel at cross-functional coordination and want to enable AI adoption across a large organization.
Listed on Gilead Sciences’s careers site · Apply there ↗
Asked for alongside MLOps
Measured from the 46 open roles that name MLOps — not from a curated list.
- Python30 roles65.2%
- Amazon Web Services (AWS)17 roles37.0%
- Kubernetes16 roles34.8%
- PyTorch16 roles34.8%
- Microsoft Azure12 roles26.1%
- Generative AI11 roles23.9%
- Machine Learning11 roles23.9%
- SQL11 roles23.9%
What employers state they pay
Median
$244,000
Middle half
$188,000 – $328,000
From 31 of 46 open roles — the 67% that publish a range, annualized to USD. Only some employers state pay, and the ones that do skew to California and New York, where the law requires it.
Who employers are hiring
- Entry2%
- Senior53%
- Lead / Staff / Principal28%
- Management16%
From 43 roles whose posting states a level.
Where MLOps roles are
Among the 27 of 46 open roles we could place on a map.
Roles that use MLOps
Employers hiring for MLOps
26 in total, most open roles first.
- AAccenture5 roles
- Intuit5 roles
- SSAP5 roles
- NVIDIA3 roles
- ARAgility Robotics2 roles
- ASAST SpaceMobile2 roles
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.