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Machine Learning Engineer Jobs in Charlottesville, VA

Strong Python or R programming skills * Understanding of relational databases * 3+ years of experience as a data scientist, machine learning engineer, or similar role * Solid understanding of the ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Scientist - TS/SCI

Charlottesville, VA ยท On-site

$120 - $170/hr

Perform data cleaning, feature engineering, and exploratory data analysis (EDA). * Apply advanced statistical methods and machine learning techniques to solve complex analytical problems. * Support ...

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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 15, 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.

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:

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.

Machine Learning Engineer

TwinThread

Charlottesville, VA โ€ข On-site

$90 - $120/hr

Other

Medical, PTO

Posted 10 days ago


Job description

JOB DESCRIPTION

Your responsibility will be to develop our pipeline for generic statistics and machine learning models (think: event prediction, anomaly detection, machine population analyses). We offer a configuration-free, AutoML-style approach to our customers, which means there are no customer-specific solutions; expect to think of problems at a higher level of abstraction than you might when developing one-off models or analyses.

WHAT YOU'LL NEED:
  • Strong Python or R programming skills
  • Understanding of relational databases
  • 3+ years of experience as a data scientist, machine learning engineer, or similar role
  • Solid understanding of the fundamentals of statistical modeling
  • Software engineering experience preferred
  • Strong time series analysis preferred
  • Patience
  • Creativity, integrity, taste, and a solid work ethic
WHAT YOU'LL GET:
  • Generous pay
  • Cutting edge research opportunities
  • Competitive medical benefits
  • Flexible schedule
  • Regular team lunches
  • Latest Macbook Pro, any other productivity-boosting items
  • Health Insurance
  • Liberal Vacation Policy
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