1

Mlops Machine Learning Engineer Jobs in Milpitas, CA

As a Staff Machine Learning Engineer, you will be responsible for driving the design, development ... Experience with CI/CD and MLOps pipelines for automated model deployment and monitoring * Track ...

Position Summary...The Staff Machine Learning Engineer will lead the design and delivery of ... Implement MLOps best practices such as CI/CD pipelines, model versioning, and monitoring to ensure ...

As a Staff Machine Learning Engineer, you will be responsible for driving the design, development ... Experience with CI/CD and MLOps pipelines for automated model deployment and monitoring * Track ...

As an Machine Learning Engineer (MLE), you're expected to: * Research Execution & Technical ... Bridge the gap between research and production by designing architectures that respect MLOps ...

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 ...

Showing results 41-60

Mlops Machine Learning Engineer information

See Milpitas, CA salary details

$36.7K

$150.1K

$225.5K

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

As of Sep 7, 2026, the average yearly pay for mlops machine learning engineer in Milpitas, CA is $150,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

What is the difference between Mlops Machine Learning Engineer vs Data Scientist?

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning 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 Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What are popular job titles related to Mlops Machine Learning Engineer jobs in Milpitas, CA?

For Mlops Machine Learning Engineer jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Mlops Machine Learning Engineer jobs in Milpitas, CA look for?

The top searched job categories for Mlops Machine Learning Engineer jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Mlops Machine Learning Engineer jobs?

Cities near Milpitas, CA with the most Mlops Machine Learning Engineer job openings:

Infographic showing various Mlops Machine Learning Engineer job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $150,064 per year, or $72.1 per hour.

(USA) Staff, Machine Learning Engineer

Walmart

Cupertino, CA • On-site

$169K - $338K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,636 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary...The Staff Machine Learning Engineer will lead the design and delivery of scalable, production-grade ML solutions that address critical business needs. This role involves overseeing the end-to-end ML lifecycle, including data sourcing, model development, deployment, and monitoring, while applying MLOps best practices. The engineer will build and maintain ML infrastructure, drive technical standards, and mentor team members. Collaboration across teams and continuous innovation are essential to advance Walmart’s ML capabilities and ensure high-quality, reliable solutions that support business objectives and operational excellence.
About the team:
The team develops foundational AI models and services that enhance Walmart’s customer-focused applications. Collaborating with Product, Business, Data, and Platform groups, they apply expertise in predictive analytics, machine learning, and data visualization. Key responsibilities include identifying data sources, building scalable models, and ensuring data quality to support informed decisions. Leveraging advanced techniques in natural language processing, computer vision, and deep learning, the team strengthens Walmart’s data strategy and analytics capabilities. They foster continuous learning and innovation to deliver impactful, scalable solutions that drive business value and operational excellence. What you'll do...
  • Lead the design and deployment of scalable, production-grade machine learning solutions addressing critical business needs.
  • Translate complex problems into clear technical requirements, architectural designs, and measurable success criteria.
  • Oversee the full ML lifecycle, including data sourcing, feature engineering, model training, deployment, monitoring, and continuous improvement.
  • Implement MLOps best practices such as CI/CD pipelines, model versioning, and monitoring to ensure operational excellence.
  • Build and maintain reusable ML infrastructure components and manage large-scale operations across cloud environments using containerization and workflow automation.
  • Provide technical leadership and mentorship, setting standards for code quality, testing, and deployment.
  • Drive experimentation pipelines and explore advanced ML techniques to accelerate innovation and solution delivery.
What you'll bring:
  • Proven expertise in designing and delivering scalable, production-grade machine learning solutions aligned with business needs.
  • Strong proficiency in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, and coding languages including Python and SQL.
  • Experience with end-to-end ML lifecycle management, including data sourcing, feature engineering, model training, deployment, and monitoring.
  • Knowledge of MLOps best practices, including CI/CD pipelines, model versioning, and telemetry-based monitoring.
  • Familiarity with cloud platforms (AWS, GCP, Azure), containerization, Kubernetes, and workflow automation.
  • Ability to implement robust model evaluation and validation frameworks.
  • Demonstrated leadership in mentoring engineers and enforcing engineering standards.
  • Strong collaboration and communication skills to work across teams and stakeholders.

  At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

‎ 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering, machine learning engineering, AI systems or related area.
Option 2: 6 years’ experience in software engineering, machine learning engineering, AI systems or related area. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years' experience in software engineering, machine learning engineering, AI systems or related area., Prior work experience in accessibility best practices., Prior work experience in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. Primary Location... 1345 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

Social media