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Machine Learning Engineer Python Jobs in Harrisonburg, VA

Mueller Industries

Manufacturing Engineer 1

New Market, VA · On-site

$65K - $75K/yr

Commitment to innovation and continuous learning. Work Environment * On-site in a manufacturing ... Requires hands-on work around machinery, electrical systems, and production lines. Why Join Us? We ...

SUMITOMO MACHINERY CORP OF AMERICA

Designer III

Verona, VA · On-site

$32.98 - $41.25/hr

Access to LinkedIn Learning * YMCA discount and more! Purpose and Scope of Job: Primarily ... Bachelor's Degree in Engineering, Engineering Design, or equivalent experience. * Seven (7+) years ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Harrisonburg, VA

Machine Learning Engineer Python information

See Harrisonburg, VA salary details

$21.4K

$130.5K

$188.7K

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

As of Sep 1, 2026, the average yearly pay for machine learning engineer python in Harrisonburg, VA is $130,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $153,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What job categories do people searching Machine Learning Engineer Python jobs in Harrisonburg, VA look for?

The top searched job categories for Machine Learning Engineer Python jobs in Harrisonburg, VA are:

What cities near Harrisonburg, VA are hiring for Machine Learning Engineer Python jobs?

Cities near Harrisonburg, VA with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Harrisonburg, VA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,457 per year, or $62.7 per hour.

Solutions, Consulting, & Engineering Intern - 2027

World Wide Technology

Harrisonburg, VA

$18 - $25/hr

Full-time, Internship

Posted 6 days ago

World Wide Technology rating

7.8

Company rating: 7.8 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

88th of 226 rated it services

Job description

About World Wide Technology

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 15,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 15 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

Tell me more about the Internship Program!

The WWT Internship Program is a 10 week summer program designed to give college students an opportunity to experience the workplace prior to graduation and enhance their education. Our program is focused on better preparing students for the business world while providing valuable contributions to our company. WWT interns work in a dynamic and collaborative culture that highlights career opportunities and advancement.

We are now hiring for Summer 2027. The program will begin in May 2027. This application is open from August 2026 through October 2026.

If you’re interested in Solutions, Consulting and Engineering this is the place for you!

Why Solutions Consulting & Engineering (SC&E)?

Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. Areas within SC&E include Enterprise Architecture, Data Science, Digital Transformation, Management Consulting, Machine Learning Operations, Multicloud, and Security.

Relevant Majors:

  • Business Administration
  • Computer Science
  • Cyber Security
  • Data Science/Analytics
  • Economics/Statistics
  • Information Technology
  • Software Engineering
  • Master of Business Administration (MBA)

Qualifications:

  • Currently enrolled in a college, university, or certification program and will have at least 1 semester left after internship
  • You must have a graduation date of December 2027 or later to qualify for the program.
  • Must be pursuing a degree relevant to the role with a strong interest in numbers/mathematics
  • Proficient in Microsoft Office Suite with an emphasis in Excel
  • Strong written & verbal communication skills with keen attention to detail
  • Strong organizational, problem solving & analytical skills
  • Strong interpersonal skills
  • Strong independent judgment and leadership skills
  • Ability to collaborate well with others
  • Must provide reliable transportation & housing

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $18 to $25 per hour. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

If you have any questions or concerns about this posting, please email taposting@wwt.com.

To avoid duplicate applications, WWT's Internship Team recommends applying for ONE Intern position and listing your additional areas of interest in question 10 of the application.

World Wide Technology, LLC offers excellent benefits and competitive compensation. Visit our company web page at for more information.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

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