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Machine Learning Engineer Jobs in Charlottesville, VA

General Atomics

Devops Engineer II

Charlottesville, VA · On-site

$68K - $116K/yr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... Engineer to manage the configuration, deployment and maintenance of one or multiple environments.

General Atomics

Devops Engineer II

Charlottesville, VA · On-site

$52.25 - $71.75/hr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... Engineer to manage the configuration, deployment and maintenance of one or multiple environments.

Booz Allen Hamilton

AI Systems Analyst

Charlottesville, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ability to examine artifi cia l intelligence and machine learning technical implications, data ... Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) field Nice If You ...

Booz Allen Hamilton

AI Systems Analyst

Charlottesville, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ability to examine artificial intelligence and machine learning technical implications, data ... Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) field Nice If You ...

Booz Allen Hamilton, Inc.

AI Systems Analyst

Charlottesville, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Ability to examine artificial intelligence and machine learning technical implications, data ... Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) field Nice If You ...

General Atomics

Devops Engineer IV

Charlottesville, VA · On-site

$98K - $171K/yr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... GA-Intelligence is looking for experienced Senior DevOps Engineers with Top Secret/SCI clearance to ...

General Atomics

Devops Engineer IV

Charlottesville, VA · On-site

$52.25 - $71.75/hr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... GA-Intelligence is looking for experienced Senior DevOps Engineers with Top Secret/SCI clearance to ...

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

General Atomics

Software Developer II

Charlottesville, VA · On-site

$81K - $141K/yr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... GA Intelligence is looking for a Cleared Software Engineer to join our Federal Portfolio in the ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Charlottesville, VA

Machine Learning Engineer information

See Charlottesville, VA salary details

$31.3K

$127.7K

$192K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in Charlottesville, VA is $127,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $153,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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.

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.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Charlottesville, VA?

The most popular types of Machine Learning Engineer jobs in Charlottesville, VA are:

What are popular job titles related to Machine Learning Engineer jobs in Charlottesville, VA?

For Machine Learning Engineer jobs in Charlottesville, VA, the most frequently searched job titles are:

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Charlottesville, VA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,747 per year, or $61.4 per hour.

Research Associate in Materials Science and Engineering

University of Virginia

Charlottesville, VA • On-site

$47K - $90K/yr

Full-time

Re-posted 2 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 618 rated colleges and universities

Job description

The Ke Research Group in the Department of Materials Science and Engineering at the University of Virginia is seeking applicants for a Postdoctoral Research Associate position in computational materials science and theoretical condensed matter physics, with a focus on strongly correlated materials, especially rare-earth systems.
The successful candidate will work on fundamental research projects in rare-earth magnetic materials, including permanent magnets and quantum materials, with emphasis on analytical modeling, first-principles electronic-structure methods, rare-earth 4f physics, crystal-field effects, high-throughput materials discovery, and machine-learning-assisted materials design.
RESPONSIBILITIES:
  • Develop theoretical methods and computational approaches for strongly correlated rare-earth materials
  • Perform and analyze ab initio calculations for strongly correlated systems
  • Develop automated workflows for materials screening and property prediction
  • Collaborate with experimental and theoretical partners across groups and institutions to interpret results and guide materials discovery
  • Prepare manuscripts, present research results, and contribute to project reports and proposals
  • Mentor graduate and undergraduate students as appropriate

REQUIRED QUALIFICATIONS:
  • Ph.D. in physics, materials science, chemistry, or a related field by the start date
  • Research experience in electronic-structure theory or computational condensed matter physics, demonstrated by first-author publications

PREFERRED QUALIFICATIONS:
Candidates with experience developing or implementing computational methods, rather than only running standard DFT calculations, are especially encouraged to apply. Experience in one or more of the following areas is desirable:
  • Strongly correlated electron systems
  • Rare-earth and 4f-electron physics
  • Magnetism, magnetic anisotropy, and spin-orbit coupling
  • High-throughput computational workflows
  • Machine learning for materials discovery
  • Development or implementation of novel electronic-structure methods
  • Strong programming skills and experience with HPC environments
  • Strong written and oral communication skills

APPLICATION PROCEDURE:
Apply online at https://jobs.virginia.edu/us and search for R0083822. Attach the following documents: a cover letter, a curriculum vitae, and contact information for three references. Please note that multiple documents can be uploaded in the box.
APPLICATION DEADLINE:
Review of applications will begin on June 13, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
Estimated salary range is $47,500 - $90,000, commensurate with experience.
This is a one-year appointment, and the appointment may be renewed contingent upon available funding and satisfactory performance.
For questions about the position, please contact Liqin Ke, Associate Professor, at uvn6ns@virginia.edu .
For questions regarding the application, please contact Rich Haverstrom, Academic Recruiter, at rkh6j@virginia.edu .
A competitive salary and benefits package is offered at University of Virginia. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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