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Senior Machine Learning Ops Engineer Jobs in Missouri

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Working within a small, highly skilled engineering team, you will have significant technical ... Design, build, and scale production machine learning systems supporting advanced AI-powered ...

Showing results 41-60

Senior Machine Learning Ops Engineer information

What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by senior machine learning ops engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What is a senior machine learning ops engineer?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.
What are the most commonly searched types of Machine Learning Ops Engineer jobs in Missouri? The most popular types of Machine Learning Ops Engineer jobs in Missouri are:
What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Missouri? For Senior Machine Learning Ops Engineer jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Senior Machine Learning Ops Engineer jobs? Cities in Missouri with the most Senior Machine Learning Ops Engineer job openings:
Infographic showing various Senior Machine Learning Ops Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Staff, Machine Learning Engineer

Walmart

Anderson, MO • On-site

$130K - $260K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,364 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...What you'll do: We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI driven intelligent products for the Associate Productivity and Experience team, with the ability to influence and collaborate with partner teams, data scientists, ML engineers, product managers and other engineers in the team. A successful candidate will have an established hands-on data science, AI, ML experience in driving technical products, Full stack developer, and a passion for great customer-centric products.
  • Design, architect, build AI/ML models, AI Agents and deploy, operate, optimize the solutions
  • Work on Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch and Agentic Frameworks like Pydantic
  • Lead development of end-to-end system architecture for GenAI/AI/ML and data intensive applications
  • Design, Develop and deploy Full stack based applications.
  • Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry
  • Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions
  • End to end ownership of product using technologies such as Java , Node JS, React Js
  • You will be required to review design and code, provide technical solutions to team for complex requirements
  • Uphold and enforce rigorous standards, governance, and best practices, ensuring strict compliance with model and data governance standards.
  • Adhere strictly to Walmart’s policies, procedures, mission, values, standards of ethics, and integrity.
  • Innovation and Research: Stay at the forefront of technological advancements, conducting research to identify emerging tools and methodologies.
  • Collaborative Communication: Communicate complex technical concepts effectively to both technical and non-technical stakeholders, promoting a culture of open communication and collaboration.
  • You will be called upon to support the coaching and training of other team members to ensure all employees are confident in the use of software applications
What you'll bring:
  • bachelor's/master's degree in computer science, information technology, engineering, or related area
  • Minimum 10 years of experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric Fullstack/GenAI /AI /ML products and applications
  • Good understanding of Data Structures
  • Hands on experience in systems design, algorithms, and distributed systems.
  • Industry level experience in developing production-grade AI/ML system development with major technology companies or AI-native start-ups.
  • Experience at writing high-performing production-quality code in Python
  • Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
  • Experience working in Agile Methodology
  • Experience using CI/CD, tools for logging and metrics
  • A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
  • Strong computer science fundamentals in data structures and algorithms
  • Exposure to information retrieval, statistics, and machine learning.
  • Excellent oral and written communication skills.
  • Good analytical and problem-solving skills
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.
Bentonville, Arkansas US-10735: The annual salary range for this position is $130,000.00 - $260,000.00
Sunnyvale, California US-11807: 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

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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... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, 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.

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Benefits

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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

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