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Full Time Machine Learning Ops Engineer Jobs (NOW HIRING)

CIM Group

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$140K - $179K/yr

They are seeking a Senior Machine Learning Ops Engineer to lead the design and maintenance of scalable infrastructure for ML model deployment and lifecycle management, with a focus on productionizing ...

CIM Group

Sr. Machine Learning Ops Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

CIM Group is a community-focused real estate and infrastructure company seeking a Senior ML Ops Engineer to lead the design and maintenance of scalable infrastructure for ML model deployment and ...

Lorven Technologies

ML Ops Engineer

Concord, CA · On-site

ML Ops Engineer Concord CA Contract Cleint Round - Inperson Overview Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

RELX

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

RELX Group plc

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

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All JobsMachine Learning Ops Engineer JobsFull Time Machine Learning Ops Engineer Jobs

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
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What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
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What job categories do people searching Full Time Machine Learning Ops Engineer jobs look for? The top searched job categories for Full Time Machine Learning Ops Engineer jobs are:
Full Time Machine Learning Ops Engineer jobs near you
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.
Machine Learning Ops Engineer

Machine Learning Ops Engineer

Ruri Software Technologies LLC

Remote

$54 - $74/hr

Full-time

Posted 21 days ago

Job description

Job Title:- Machine Learning Ops Engineer
Duration:- 8+ months
Location:- Remote
Description
  • Proven expertise in machine learning model lifecycleProven expertise and experience in creating data pipelines using Python or R required for real-time model inferenceProven expertise and experience in creating a microservice using Flask or FastAPI or R equivalent for a machine learning model.
  • Experience with APIGEE is a must. Proven experience with Linux bash scripting, Python scripting, or Groovy scripting Proven experience with Docker, and KubernetesProven experience with MPP databases like Teradata and reasonable experience with Hadoop ecosystem products like Hive, HDFS, HBASE, etc.
  • Proven experience with streaming technologies like KafkaProven experience with CICD tools like Jenkins, Shell Scripting, Gitlab, Github, Gitlab Pages, and Gitlab Documentation Proven experience with logging, alerting, debugging, and monitoring tools like ELK, Kibana, Catchpoint, Prometheus, and Splunk. Experience with EKS, or GKE is a plus

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