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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.

See who is hiring

MLOps in the job market

Last checked September 12, 2026

Open roles
47

on Career App right now

Employers
26

hiring for it

Median pay
$225,000

from 35 roles

Disclose pay
74%

of these roles

Open roles requiring MLOps (47)

AeroVironment

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 ↗

Moderna

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 ↗

Gilead Sciences

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 ↗

Target

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 ↗

NVIDIA

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 ↗

View all 47 on Jobs

Asked for alongside MLOps

Measured from the 47 open roles that name MLOps — not from a curated list.

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.

Employers hiring for MLOps

26 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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