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 September 12, 2026
- Open roles
- 47
- Employers
- 26
- Median pay
- $225,000
- Disclose pay
- 74%
on Career App right now
hiring for it
from 35 roles
of these roles
Open roles requiring MLOps (47)
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 ↗
AI Engineer, Sr
A-dec
Newberg, OR
A-dec seeks a senior AI engineer to design and deploy practical artificial intelligence solutions across business operations, from supply chain optimization to customer service automation. The role combines hands-on development of machine learning models and LLM-based systems with cross-functional collaboration to drive measurable business impact.
Listed on A-dec’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 ↗
S&C Global Network - AI - Resources - Manager Data Science
Accenture
This role leads data science strategy and execution for a global consulting firm, architecting and deploying advanced analytics solutions for enterprise clients in utilities, energy, and natural resources. It suits experienced practitioners who thrive on translating complex business problems into statistical models and mentoring technical teams at an enterprise scale.
Listed on Accenture’s careers site · Apply there ↗
Principal Engineer - AI /ML Platform
Target
Full-time · $168,000 – $356,000
Target seeks a Principal Engineer to lead the architecture and strategy of their enterprise machine learning operations platform, enabling hundreds of engineers and data scientists to build, deploy, and govern AI solutions at scale. This role suits a technology leader with deep platform engineering expertise who enjoys influencing strategy, mentoring senior engineers, and solving complex infrastructure challenges.
Listed on Target’s careers site · Apply there ↗
Sr. Principal Data Scientist (Agentic AI)
Warner Bros. Discovery
Atlanta, GA
Warner Bros. Discovery is seeking a highly experienced Data Scientist to serve as a top-level individual contributor, architecting and delivering enterprise-scale AI and machine learning systems that power content intelligence, personalization, forecasting, and monetization across the company's streaming and advertising platforms. This role suits a seasoned technologist with 15+ years in the field who wants to drive technical direction and solve complex business problems without formal management responsibilities.
Listed on Warner Bros. Discovery’s careers site · Apply there ↗
Director, Platform Engineering
Supercast
Full-time · $160,000 – $270,000
Lead a newly formed platform engineering team at FOX Technology that bridges experimental AI-assisted solutions and production-ready tools for broadcast and internal engineering workflows. This role suits engineering leaders with experience taking prototypes to production at scale, strong AI and infrastructure fundamentals, and the ability to mentor teams while partnering across technical organizations.
Listed on Supercast’s careers site · Apply there ↗
NCX Senior Engineer
NVIDIA
$184,000 – $356,500
NVIDIA is hiring a senior engineer to provide hands-on technical support for large-scale AI deployments on their cloud platforms, working directly with enterprise customers to optimize distributed training, inference, and MLOps infrastructure. This role suits experienced infrastructure engineers or solutions architects comfortable troubleshooting complex production systems and guiding customer teams on GPU-accelerated platforms.
Listed on NVIDIA’s careers site · Apply there ↗
Asked for alongside MLOps
Measured from the 47 open roles that name MLOps — not from a curated list.
- Python26 roles55.3%
- Amazon Web Services (AWS)21 roles44.7%
- Machine Learning15 roles31.9%
- Microsoft Azure15 roles31.9%
- PyTorch15 roles31.9%
- Generative AI12 roles25.5%
- TensorFlow12 roles25.5%
- SQL11 roles23.4%
What employers state they pay
Median
$225,000
Middle half
$190,000 – $271,000
From 35 of 47 open roles — the 74% 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
- Entry5%
- Senior51%
- Lead / Staff / Principal26%
- Management19%
From 43 roles whose posting states a level.
Where MLOps roles are
Among the 26 of 47 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
- BBoeing3 roles
- ARAgility Robotics2 roles
- Gilead Sciences2 roles
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.