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Machine Learning Ops Engineer Jobs in California

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 ...

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

... machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer vision, electrical, optical or computer engineering ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer

San Jose, CA · On-site

$125K - $234K/yr

Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning ... Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. * Proficiency ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

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Machine Learning Ops Engineer information

See California salary details

$31.1K

$127.1K

$191K

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

As of Jun 19, 2026, the average yearly pay for machine learning ops engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Ops Engineer job?

A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.

What does a typical day look like for a Machine Learning Ops Engineer?

A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.

What are the key skills and qualifications needed to thrive in the Machine Learning Ops Engineer position, and why are they important?

To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.

What cities in California are hiring for Machine Learning Ops Engineer jobs? Cities in California with the most Machine Learning Ops Engineer job openings:
Infographic showing various Machine Learning Ops Engineer job openings in California as of June 2026, with employment types broken down into 6% Internship, 88% Full Time, 3% Contract, and 3% Nights. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Lorven technologies

Mountain View, CA • On-site

$95 - $100/hr

Contractor

Posted 12 days ago


Job description

We have a Senior Machine Learning Engineer role.
 
Below are the key details:
Main skill: Time Series, ML models training production experience, Vision Models - 2D/3D
 
Project duration: 12 months
Location: 3 days per week onsite in Mountain View, CA
Recruitment process: General Interview – Technical Interview (90 min) – Client interview 2 rounds
Required start date: Asap
Level: Senior/ Lead
 
Role Overview:
Looking for a Machine Learning Engineer to work on products related to seismic and well log data. The role will involve identifying simple geologic characteristics of the data (faults, horizons) and requires working knowledge of different subsurface data formats and types.                                                                
  • Strong experience in building and deploying machine learning models, especially in image processing and time series signal processing.
  • Proficiency with TensorFlow and PyTorch.
  • Hands-on experience with training and fine-tuning ML models for production.
  • Skilled in building and maintaining data pipelines for image and sensor data.
  • Familiarity with ML Ops tools and practices (model monitoring, versioning, and deployment).
  • Experience with data labeling tools.
  • Knowledge of cloud platforms, particularly Google Cloud Platform (GCP). 
  • Time series and ML model training experience in production environments.
  • Expertise in Vision Models (2D/3D).

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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