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Machine Learning Engineer Jobs in Charlottesville, VA

General Atomics

Cleared DevOps Engineer

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.

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$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 ...

Varsity Tutors

Python Tutor

Charlottesville, VA · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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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 Sep 13, 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 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 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 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 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 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,747 per year, or $61.4 per hour.

Research Associate in Computer Science

Charlottesville, VA • On-site

University of Virginia
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Virginiaexternal

Full-time

Re-posted 9 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

Job description

The University of Virginia, Department of Computer Science, is seeking applicants for a Research Associate (postdoctoral) position under the supervision of Professor Ferdinando Fioretto .
As a key member of the research team, the postdoctoral researcher will develop novel physics-constrained generative AI methods (diffusion models and flow matching) for real-time transmission-grid topology control. The researcher will design topology-agnostic diffusion models that generate diverse switching configurations from post-contingency grid states while satisfying network connectivity, N-1 security, and thermal limits. Concurrently, they will enhance their skills in teaching, mentoring, and proposal development.
The successful candidate will lead technical deliverables and manuscripts targeting top-tier machine-learning conferences and leading journals in power systems. The position offers an exceptional collaborative network spanning academia, industry, national laboratories.
QUALIFICATION REQUIREMENTS: A Ph.D. in computer science, electrical engineering, operations research, or a related field by the start date. The candidate should have a strong machine-learning research record, rigorous mathematical and experimental skills, and the ability to deliver high-quality results on short timelines. Expertise in one or more of the following is strongly preferred: generative or diffusion models, optimal power flow and power systems, graph neural networks, constrained or physics-informed machine learning. Proficiency with frameworks such as PyTorch is expected. Prior power-systems experience is highly beneficial.
APPLICATION PROCEDURE: Apply online through UVA Jobs and search for requisition R0085429. Upload a current CV, a short statement describing the applicant's research background, interests, and fit, 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 August 15, and the position will remain open until filled. The University will perform background checks on all new hires prior to employment.
This is a one-year appointment; The appointment may be renewed for an additional year contingent upon available funding and satisfactory performance. The successful candidate is expected to begin by September 1, 2026, or earlier.
For questions regarding this position, contact Ferdinando Fioretto, Associate Professor, at fioretto@virginia.edu .
For questions regarding the application process, contact Rich Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu .
For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits .
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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