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Full Time Machine Learning Ops Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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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 Jun 20, 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

$54 - $74/hr

Full-time

Posted yesterday


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