Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying ...
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Quick apply
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Software Engineer - Machine Learning/AI Engineer Location: Chula Vista, CA locals Only Domain ... ML Ops: * Data Engineering: Thanks & Regards, YOGITA ✉️ Yogita@kanakits.com
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Software Engineer - Machine Learning/AI Engineer Location: Chula Vista, CA locals Only Domain ... ML Ops: * Data Engineering: Thanks & Regards, YOGITA ✉️ Yogita@kanakits.com
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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Machine Learning Engineer
Sunnyvale, CA · On-site
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Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
Machine Learning Engineer
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
Dev Ops Engineer
San Francisco, CA · On-site
$200K - $300K/yr
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Dev Ops Engineer
San Francisco, CA · On-site
$200K - $300K/yr
Its proprietary technology combines robotics, machine learning, and advanced computer vision to ... We are looking to hire a Dev Ops Engineer for our Software Team. What You'll Do: * Own the ...
Machine Learning Engineer
Fremont, CA · On-site
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Machine Learning Engineer
Fremont, CA · On-site
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Los Angeles, CA · On-site
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Machine Learning Engineer
Los Angeles, CA · On-site
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Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
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Machine Learning Engineer
Palo Alto, CA · On-site
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Machine Learning Engineer
Palo Alto, CA · On-site
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...
Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the ...
Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the ...
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Poway, CA · On-site
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Machine Learning Engineer
Poway, CA · On-site
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SRE with MLops Platform
Sunnyvale, CA · On-site
$67 - $89/hr
Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ... Exposure to machine learning methodology and best practices * Good communication skills and ability ...
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SRE with MLops Platform
Sunnyvale, CA · On-site
$67 - $89/hr
Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ... Exposure to machine learning methodology and best practices * Good communication skills and ability ...
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?
As of Sep 11, 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?
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?
Machine Learning Ops Engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Kubernetes and TensorFlow. The role is expected to grow as organizations prioritize AI-driven solutions and infrastructure automation.
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:
- Staff Software Engineer Machine Learning
- Junior Machine Learning Engineer New Grad
- Machine Learning Engineer Apprenticeship
- Flexible Machine Learning Engineer Biotech
- Senior Machine Learning Researcher
- Help Nlp Engineer
- Deep Learning Engineer
- Volunteer Large Language Model Llm
- Urgently Hiring Machine Learning Engineer New Grad
- Lead Machine Learning Engineer
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:
- Hourly Remote Machine Learning
- Machine Learning Engineer Opt
- Contract Apple Machine Learning Engineer
- Sr Machine Learning Engineer
- Nlp Practitioner
- Apple Machine Learning Engineer
- Founding Machine Learning Engineer
- Machine Learning Manager
- Probabilistic Programming Bayesian
- Machine Learning Engineer Associate
What cities in California are hiring for Machine Learning Ops Engineer jobs?
Cities in California with the most Machine Learning Ops Engineer job openings:
Machine Learning Engineer
South San Francisco, CA • On-site
Tranzeal Incorporated
• Business Management Consulting • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 4 days ago
Job description
Job Summary:
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Tranzeal
Sourced by ZipRecruiter
Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.
Industry
Business management consulting
Company size
51 - 200 Employees
Headquarters location
San Jose, CA, US