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Machine Learning Engineer Jobs in Rogers, AR (NOW HIRING)

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Group Director, Data Science

Goshen, AR · On-site

$195K - $370K/yr

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Group Director, Data Science

Johnson, AR · On-site

$195K - $370K/yr

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation. * Build strong ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

They are seeking a Data Engineer to design and maintain ETL/ELT pipelines, manage data infrastructure, and collaborate with teams to support machine learning initiatives. Responsibilities : • Data ...

Agentic DevOps Engineer

Bentonville, AR · On-site

$70K - $205K/yr

You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you ... Engineer to support our Agentic DevOps initiatives. This role is ideal for a hands-on technical ...

NGA AI Engineer Manager

Fayetteville, AR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Machine Learning Engineer information

See Rogers, AR salary details

$26.4K

$107.9K

$162.1K

How much do machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer in Rogers, AR is $107,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $129,900.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Rogers, AR are hiring for Machine Learning Engineer jobs? Cities near Rogers, AR with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Rogers, AR as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,904 per year, or $51.9 per hour.
Group Director, Data Science

Group Director, Data Science

Walmart

Decatur, AR

$195K - $370K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,690 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...We're looking for a strategic Data Science leader who can turn complex business challenges into scalable AI, machine learning, and analytics solutions that drive measurable business impact. In this role, you'll partner with executive stakeholders across business and technology organizations to identify high-value opportunities, shape enterprise data strategy, and lead teams responsible for developing and deploying advanced analytical solutions. You'll play a critical role in influencing business decisions, driving holistic enterprise outcomes, influencing technology roadmaps, advancing AI capabilities, and building a culture of innovation and technical excellence across the organization.What you'll do...
  • Partner with senior business leaders to identify strategic opportunities where data science, machine learning, and AI can create meaningful business value.
  • Partner with leaders across business and technology teams to align data science initiatives, technology roadmaps, and strategic priorities that drive enterprise-wide impact.
  • Translate complex business challenges into scalable analytical solutions that improve decision-making, operational efficiency, and business performance.
  • Lead the design, development, validation, deployment, and scaling of advanced machine learning, optimization, and predictive analytics models.
  • Guide teams through the full analytics lifecycle, including problem formulation, data strategy, exploratory analysis, experimentation, model development, deployment, and monitoring.
  • Define and influence enterprise data strategy by improving how data is governed, accessed, managed, and leveraged across the business.
  • Collaborate across functions to ensure data-driven solutions support holistic business decision-making, balancing competing priorities and maximizing value across the organization.
  • Establish best practices for model governance, testing, validation, and performance measurement to ensure solutions are accurate, reliable, and scalable.
  • Drive innovation by evaluating emerging technologies, advanced analytical techniques, and new data sources that can create competitive advantage.
  • Build compelling data-driven narratives and visualizations that influence executive decision-making and organizational strategy.
  • Develop and mentor high-performing teams of data scientists, machine learning engineers, and analytics professionals while fostering a culture of continuous learning and innovation.
  • Build strong partnerships across business and technology teams to align priorities, accelerate delivery, influence technology investments and roadmaps, and maximize business outcomes.
  • Represent the organization internally and externally as a thought leader in AI, machine learning, and advanced analytics.
What you'll bring...
  • Experience leading large-scale Data Science, Machine Learning, AI, or Advanced Analytics teams in a complex business environment.
  • Proven success using data, analytics, and technology to solve business problems and deliver measurable results.
  • Deep expertise in machine learning, statistical modeling, optimization, experimentation, predictive analytics, and large-scale data ecosystems.
  • Strong understanding of model development, validation, deployment, monitoring, and production-scale AI solutions.
  • Experience working with modern programming languages and analytical tools such as Python, R, SQL, and cloud-based data platforms.
  • Ability to influence executive stakeholders and translate technical concepts into business-focused recommendations.
  • Experience developing enterprise data strategies and driving data governance, quality, accessibility, and scalability initiatives.
  • Strong communication and storytelling skills with the ability to present complex insights to both technical and non-technical audiences.
  • Demonstrated success building, mentoring, and scaling high-performing technical teams.
  • A strategic mindset, strong business acumen, and a passion for solving complex problems through data and innovation.

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 $195,000.00 - $370,000.00 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 Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 3: 10 years' experience in an analytics or related field.
4 years' supervisory experience.Preferred Qualifications...

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

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...802 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart 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

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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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