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Full Time Machine Learning Ops Engineer Jobs (NOW HIRING)

Role Description As the first ML Ops Engineer at Tennr, you'll play a crucial role in building and iterating on foundational Machine Learning and AI systems. You'll own building machine learning ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100.90K - $138.60K/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

$100.90K - $138.60K/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 ...

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 Software Engineer

Olathe, KS · On-site

$118.60K - $156.40K/yr

Overview We are seeking a full-time Senior Software Engineer at Garmin's U.S. headquarters in the ... Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and ...

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Showing results 1-20

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 May 31, 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.

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.

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 May 2026, with employment types broken down into 17% Full Time, and 83% Part Time. Highlights an 86% Physical, and 14% Hybrid job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Ops Engineer, Global SRE

Machine Learning Ops Engineer, Global SRE

TikTok

San Jose, CA • On-site

$244.80K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

108th of 184 rated software companies


Job description

Responsibilities
MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on. Responsibilities 1) Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems. 2) Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks. 3) Responsible for rolling out GPU model training in Non-China regions. 4) Responsible for stability of AIGC related machine learning tasks. 5) Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.
Qualifications
Minimum Qualifications 1) Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience. 2) Expertise in Linux operating systems, networking, storage. 3) Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java. 4) Experience in troubleshooting application issues, or production operations. 5) Effective communication skills and a sense of ownership and drive. Preferred qualifications: 1) Experience in SRE of machine learning systems. 2) Experience in SRE of ads/recommendation/search systems.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $450000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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