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Machine Learning Operations Mlops Jobs (NOW HIRING)

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Machine Learning Engineer

San Francisco, CA · On-site

$118K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning ... Implement robust DevOps and MLOps practices, managing model registries, automated testing ...

Veho Tech, Inc.

Senior Machine Learning Operations Engineer

$175K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Machine Learning Operations Engineer you'll be embedded in a team of talented data ... Applies their ML / MLOPS knowledge to suggest new patterns, tools, approaches to improve the team ...

Fiserv, Inc.

AI - Cyber Security Engineer - II

Alpharetta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Implement machine learning operations (MLOps) practices including deployment automation, monitoring, observability, performance evaluation, and lifecycle management for artificial intelligence models ...

HCA Healthcare

Staff MLOps Engineer

Franklin, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless ...

HCA Healthcare

Staff MLOps Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless ...

HCA Healthcare

Staff MLOps Engineer

Lebanon, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning Operations (MLOps) platform. This role combines deep cloud architecture expertise with advanced AI/ML knowledge to develop solutions that streamline workflows, enable seamless ...

Monitise

AI - Cyber Security Engineer - II

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Implement machine learning operations (MLOps) practices including deployment automation, monitoring, observability, performance evaluation, and lifecycle management for artificial intelligence models ...

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Machine Learning Operations Mlops information

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How much do machine learning operations mlops jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning operations mlops in the United States is $39.89, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $42.31 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Operations Mlops vs Data Scientist?

AspectMachine Learning Operations (MLOps)Data Scientist
Primary FocusDeploying, monitoring, and maintaining ML models in productionDeveloping and analyzing data models, insights, and algorithms
Required SkillsMachine learning, DevOps, cloud platforms, automationStatistics, data analysis, programming, machine learning
Work EnvironmentProduction environments, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
CertificationsCloud certifications, ML certifications, DevOps toolsData science certifications, programming skills, statistical expertise

While both roles involve machine learning, MLOps focuses on deploying and maintaining models in production environments, ensuring scalability and reliability. Data scientists primarily develop models and analyze data to generate insights. Understanding these differences helps organizations assign the right talent for each stage of the ML lifecycle.

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Machine Learning Operations Mlops jobs near you
Infographic showing various Machine Learning Operations Mlops job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,973 per year, or $39.9 per hour.

Senior Machine Learning (MLOps) Engineer - Worldwide Product Marketing

Apple

Cupertino, CA • On-site

$128K - $177K/yr

Full-time

Posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle.
Description
The MLOps Engineer will drive end-to-end quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling. This hire will build, deploy, and optimize AI/ML based applications with a strong emphasis on scalable, and production-ready systems. You will establish standard methodologies for model integration, deployment, and monitoring using CI/CD principles.
Minimum Qualifications
8 years in software engineering with demonstrated experience in large-scale software system design and implementation.
Bachelor's Degree in Software Engineering, Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.
Proven track record of shipping and maintaining production-grade ML systems end-to-end.
Strong experience with distributed systems, databases (SQL/NoSQL), cloud platforms (AWS, Azure, or GCP), and container orchestration tools such as Kubernetes.
Hands-on experience with MLOps tooling and platforms such as Ray, MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience building and managing CI/CD pipelines for ML workflows using tools such as Jenkins, GitHub Actions, or ArgoCD.
Strong understanding of data pipeline orchestration tools such as Airflow, Prefect, or similar.
Preferred Qualifications
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Familiarity with model monitoring, drift detection, and observability practices in production environments.
Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.
Comfort using LLM-based tools such as Claude, Gemini, or ChatGPT to assist with code generation, documentation, debugging, and workflow automation.
Demonstrated ability to critically evaluate and validate LLM-generated outputs, ensuring accuracy and reliability before applying them in production contexts.
Experience incorporating AI-assisted tools into day-to-day engineering workflows, with an understanding of their limitations and appropriate use cases.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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