Concord, CA (Local candidates only - In-person required) Tachyon Cortex Machine Learning AI team is seeking an experienced ML Ops Engineer to drive the full lifecycle of machine learning solutions.
Concord, CA (Local candidates only - In-person required) Tachyon Cortex Machine Learning AI team is seeking an experienced ML Ops Engineer to drive the full lifecycle of machine learning solutions.
ML Ops Engineer
Concord, CA · On-site
Contract Experience: 10+ years in Software Engineering; 3+ years in AI/ML & Machine Learning Operations Job Overview Our client's Machine Learning AI team is seeking an experienced ML Ops Engineer to ...
ML Ops Engineer
Concord, CA · On-site
Contract Experience: 10+ years in Software Engineering; 3+ years in AI/ML & Machine Learning Operations Job Overview Our client's Machine Learning AI team is seeking an experienced ML Ops Engineer to ...
Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities: * Develop and maintain ML pipelines using tools like ...
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Tachyon Cortex Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities: * Develop and maintain ML pipelines using tools like ...
Machine Learning Ops Engineer, Global SRE
San Jose, CA · On-site
$254K - $480K/yr
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 ...
Machine Learning Ops Engineer, Global SRE
San Jose, CA · On-site
$254K - $480K/yr
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 ...
ML OPS Engineer
Concord, CA · On-site
ML OPS Engineer Location: Concord, CA ( 5 days a week onsite ) Duration: 12+ Months Contract Job ... ready machine learning platforms across cloud and on-premises environments. The ideal candidate ...
New
ML OPS Engineer
Concord, CA · On-site
ML OPS Engineer Location: Concord, CA ( 5 days a week onsite ) Duration: 12+ Months Contract Job ... ready machine learning platforms across cloud and on-premises environments. The ideal candidate ...
New
ML Ops Engineer
Concord, CA · On-site
ML Ops Engineer Concord, CA 12 months contract Job Summary We are seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, and production-ready machine learning ...
New
ML Ops Engineer
Concord, CA · On-site
ML Ops Engineer Concord, CA 12 months contract Job Summary We are seeking an experienced ML Ops Engineer to design, build, and support scalable, secure, and production-ready machine learning ...
New
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, CA · Hybrid
$116K - $158K/yr
Senior ML Ops Engineer (Machine Learning Infrastructure) Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of the scalable systems that ...
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, CA · Hybrid
$116K - $158K/yr
Senior ML Ops Engineer (Machine Learning Infrastructure) Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of the scalable systems that ...
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, CA · On-site
$150K - $250K/yr
Senior ML Ops Engineer (Machine Learning Infrastructure) Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of the scalable systems that ...
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, CA · On-site
$150K - $250K/yr
Senior ML Ops Engineer (Machine Learning Infrastructure) Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of the scalable systems that ...
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, CA · Hybrid
$150K - $250K/yr
Senior ML Ops Engineer (Machine Learning Infrastructure) Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of the scalable systems that ...
Senior ML Ops Engineer (Machine Learning Infrastructure)
Los Angeles, CA · Hybrid
$150K - $250K/yr
Senior ML Ops Engineer (Machine Learning Infrastructure) Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of the scalable systems that ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization. * Implement and apply model optimization techniques such as quantization, pruning ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization. * Implement and apply model optimization techniques such as quantization, pruning ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization. Implement and apply model optimization techniques such as quantization, pruning ...
Matterport - Senior ML Ops Engineer
Sunnyvale, CA · On-site
$122K - $168K/yr
Analyze and profile machine learning models to identify performance bottlenecks and areas for optimization. Implement and apply model optimization techniques such as quantization, pruning ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
Sr MLop engineer
San Leandro, CA · On-site
$116K - $159K/yr
Syntricate Technologies is seeking a Sr ML Ops Engineer to drive the full lifecycle of machine learning solutions, bridging the gap between data science model development and production-grade ML Ops ...
Sr MLop engineer
San Leandro, CA · On-site
$116K - $159K/yr
Syntricate Technologies is seeking a Sr ML Ops Engineer to drive the full lifecycle of machine learning solutions, bridging the gap between data science model development and production-grade ML Ops ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer
Carlsbad, CA · On-site
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
Carlsbad, CA · On-site
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
San Mateo, CA · On-site
$110K - $165K/yr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
Machine Learning Engineer
San Mateo, CA · On-site
$110K - $165K/yr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
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 ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Lead Machine Learning Engineer
San Jose, CA · On-site
$120K - $158K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
San Jose, CA · On-site
$120K - $158K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
$120K - $159K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Machine Learning Ops Engineer information
See California salary details
$31.1K - $45.6K
1% of jobs
$45.6K - $60.2K
1% of jobs
$60.2K - $74.7K
5% of jobs
$74.7K - $89.2K
6% of jobs
$101.2K is the 25th percentile. Wages below this are outliers.
$89.2K - $103.8K
14% of jobs
$103.8K - $118.3K
14% of jobs
The median wage is $125.6K / yr.
$118.3K - $132.8K
18% of jobs
$132.8K - $147.4K
14% of jobs
$150.3K is the 75th percentile. Wages above this are outliers.
$147.4K - $161.9K
12% of jobs
$161.9K - $176.4K
11% of jobs
$176.4K - $191K
5% of jobs
$31.1K
$127.1K
$191K
How much do machine learning ops engineer jobs pay per year?
What is a machine learning ops engineer?
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 machine learning ops engineer do?
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 skills and qualifications are needed to be a machine learning ops engineer?
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.
Are machine learning ops engineers in demand?
What are popular job titles related to Machine Learning Ops Engineer jobs in California?
For Machine Learning Ops Engineer jobs in California, the most frequently searched job titles are:
- Urgently Hiring Machine Learning Engineer New Grad
- Senior Machine Learning Researcher
- Remote Machine Learning Engineer
- Machine Learning Engineer Intern
- Machine Learning Engineer Apprenticeship
- Volunteer Junior Machine Learning Engineer
- Machine Engineer
- Temporary Machine Learning R
- Volunteer Large Language Model Llm
- Staff Software Engineer Machine Learning
What job categories do people searching Machine Learning Ops Engineer jobs in California look for?
The top searched job categories for Machine Learning Ops Engineer jobs in California are:
- Machine Learning Visa Sponsorship
- Artificial Intelligence Machine Learning Engineer
- Urgently Hiring Machine Learning Startup
- Freelance Machine Learning Compiler Engineer
- Gpu Engineer Salary
- Machine Learning Manager
- Machine Learning Engineer Associate
- Senior Meta Machine Learning
- No Experience Nvidia Machine Learning
- Patterned Learning Ai
What cities in California are hiring for Machine Learning Ops Engineer jobs?
Cities in California with the most Machine Learning Ops Engineer job openings:

C2C Job Opening - ML Ops Engineer | Concord, CA
Concord, CA • On-site
Other
Posted 22 days ago
Job description
Type: Contract
Location: Concord, CA (Local candidates only – In-person required)
Job DescriptionTachyon Cortex Machine Learning AI team is seeking an experienced ML Ops Engineer to drive the full lifecycle of machine learning solutions.
Key Responsibilities- Develop and maintain ML pipelines using MLflow, Kubeflow, or Vertex AI
- Automate model training, testing, deployment, and monitoring across GCP/AWS/Azure
- Implement CI/CD workflows for model lifecycle management
- Monitor model performance and ensure governance compliance
- Support containerized environments and low-latency model APIs
- Utilize AutoML tools for rapid deployment and documentation automation
- 10+ years in Software Engineering & 3+ years in AI/ML Ops
- Strong skills in Java, Python, SQL, and ML libraries
- Experience with Docker, Kubernetes, and cloud platforms
- Familiarity with Airflow, Spark, and ML Ops frameworks
- Strong DevOps and communication skills