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Full Time Machine Learning Ops Engineer Jobs (NOW HIRING)

Principal Machine Learning Engineer

$138K - $185K/yr

... Ops engineer, or related position). Education Requirements: Bachelor's Degree in Computer Science, Electrical Engineering, or related field required, Masters Degree preferred. Judgment/Reasoning ...

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

They are seeking an Infrastructure Engineer to automate and manage their infrastructure ... Machine Learning Ops/Infrastructure Company : Chalk is a data platform for AI inference that ...

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

This role sits at the intersection of infrastructure engineering and machine learning. You will own ... Mentor ML Ops and ML Engineers on operational best practices. Participate in architectural reviews ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

This role sits at the intersection of infrastructure engineering and machine learning. You will own ... Mentor ML Ops and ML Engineers on operational best practices. Participate in architectural reviews ...

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

New

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

New

Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in ... Ops best practices, delivering high quality, production ready code. • Design and build ML ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ... Strong knowledge of ML Ops practices including version control, model monitoring, and retraining ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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Full Time Machine Learning Ops Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do full time machine learning ops engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for full time machine learning ops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role requires expertise in data science, programming, and system integration that cannot be fully replaced by AI itself.

How much do MLOps engineers make?

MLOps engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and expertise in tools like Kubernetes, Docker, and cloud platforms. Senior roles or those with specialized skills can exceed $180,000 per year.

What is the difference between Full Time Machine Learning Ops Engineer vs Data Scientist?

AspectFull Time Machine Learning Ops EngineerData Scientist
Primary focusDeploying, maintaining, and optimizing ML models in production environmentsAnalyzing data, building models, and deriving insights
Required skillsMachine learning deployment, cloud platforms, scripting, DevOps practicesStatistical analysis, data visualization, programming (Python/R)
Work environmentProduction systems, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
Common certificationsCloud certifications (AWS, GCP), ML Ops certificationsData science certifications, statistical courses

While both roles involve machine learning, the Full Time Machine Learning Ops Engineer focuses on deploying and maintaining models in production, requiring DevOps and cloud skills. Data Scientists primarily analyze data and develop models, often working in research settings. Understanding these differences helps in choosing the right career path or job focus.

What engineer makes $500,000 a year?

A senior or lead machine learning operations (MLOps) engineer with extensive experience, specialized skills in deploying and maintaining machine learning systems, and working at large tech companies or in high-demand industries can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning models in various industries. Companies seek professionals skilled in deploying, monitoring, and maintaining ML systems using tools like Docker, Kubernetes, and cloud platforms, making this a growing and competitive field for job seekers.
More about Full Time Machine Learning Ops Engineer jobs
What cities are hiring for Full Time Machine Learning Ops Engineer jobs? Cities with the most Full Time Machine Learning Ops Engineer job openings:
What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
What states have the most Full Time Machine Learning Ops Engineer jobs? States with the most job openings for Full Time Machine Learning Ops Engineer jobs include:
Infographic showing various Full Time Machine Learning Ops Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

iHerb

Remote

$138K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago


iHerb rating

7.4

Company rating: 7.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with business partners to provide machine intelligence driven solutions and products to simplify and enhance the customer experience and to automate core business processes. The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact.
Job Expectations:
  • Partner with the Data Platform team in a two-way exchange of best practices
  • Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify existing machine learning processes and accelerate the modelling process from the business problem's inception to deploying a model solution into production
  • Develop horizontal solutions to robustly scale the team's machine learning models and processes
  • Build software with Object-oriented Design Patterns and Analysis (OOA and OOD) with an eye toward reducing technical debt and maintaining services at high availability
  • Participate in requirements reviews, design reviews, and code reviews
  • Research and prototype new technologies to support the rapid growth of the business
  • Interact cross-functionally with a wide variety of technical teams and work closely with data and applied scientists to identify opportunities to improve on iHerb's platform

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.
Knowledge, Skills and Abilities:
Required:
  • Strong coding experience (e.g. Java, C#, Python)
  • Experience with gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.)
  • Experience building machine learning infrastructure following robust software engineering practices
  • Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, git, unit testing, smoke testing, integration testing, job schedulers, cloud technologies like AWS Lambdas and Google functions, etc.)
  • Exposure to all aspects of the software development life-cycle
  • Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.)
  • Experience with Docker and Kubernetes
  • High degree of accuracy and attention to detail
  • Excellent organization skills and ability to multitask

Equipment Knowledge:
  • Experience with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Experience with Google Business Suite (Gmail, Drive, Docs, Sheets, Forms) preferred

Experience Requirements:
Generally requires a minimum of two (2) years relevant experience in applied machine learning or machine learning systems/infrastructure, and one (1) year of relevant work experience in machine learning engineering or related fields. (e.g., as a Machine Learning Engineer, ML Ops engineer, or related position).
Education Requirements:
Bachelor's Degree in Computer Science, Electrical Engineering, or related field required, Masters Degree preferred.
Judgment/Reasoning Ability: Able to identify, troubleshoot and resolve problems quickly using sound judgment, poise and diplomacy. Ability to use judgment and reasoning skills, and determine when to escalate issues, as required, in a timely manner.
Physical Demands: The physical demands described here are representative of those that must be met by a Team Member to successfully perform the essential functions of this job. While performing the duties of this job, the Team Member is regularly required to talk and hear. The Team Member is frequently required to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach with hands and arms. Reaching above shoulder heights, below the waist or lifting as required to file documents or store materials throughout the work day. The Team Member may occasionally lift or move office products and supplies up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Work Environment: The noise in the work environment is usually moderate. Other factors are:
  • Hectic, fast-paced with multi-level distractions
  • Professional, yet casual work environment
  • Office / Warehouse environment
  • Ability to work extended hours as required

#LI-JC1
The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.
Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company's 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company's policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents.
Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies.
For more information on iHerb benefits, visit us at iHerbBenefits.com.
Anticipated Pay Scale:
$205,000-$230,000 USD
Staffing Agency Submission Notice
iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization.
About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth's best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.
We're the world's largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we've been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.
Our vision is to become the #1 destination for health and wellness across the world.
With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team:
Focus on the Customer • Empower Our People • Be Entrepreneurial & Pivot Quickly •
Embrace Diversity & Inclusion • Strive for Simplicity
iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for.
iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

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