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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

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

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 ...

New

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 ...

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 ...

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.

Devops Engineer II

General Atomics

Charlottesville, VA • On-site

$68K - $116K/yr

Full-time

Posted 13 days ago

General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

11th of 72 rated aerospace companies

Job description

Job Summary
General Atomics Integrated Intelligence, Inc. (GA-Intelligence), an affiliate of General Atomics, maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!
GA-Intelligence is looking for an experienced Cleared DevOps Engineer to manage the configuration, deployment and maintenance of one or multiple environments. The ability to maintain a production system in a high uptime environment is a key success factor. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them.
DUTIES AND RESPONSIBILITIES:
  • Under general direction, this position is responsible for maintaining development, testing, and production environments.
  • Builds and deploys automation, monitoring, and analysis solutions.
  • Manages continuous integration and delivery pipeline to maximize efficiency.
  • Implements industry best practices for system hardening and configuration management.
  • Develops and maintains solutions for operational administration, system/data backup, disaster recovery, and security/performance monitoring.
  • Continuously evaluates existing systems with industry standards, and makes recommendations for improvement.
  • Builds and maintains tools, solutions and microservices associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.
  • Tests system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed.
  • Manages code deployments, fixes, updates and related processes.
  • Works with open-source technologies as needed.
  • Works with CI/ CD tools, and source control such as GIT and SVN.
  • Offers technical support where needed, developing software for our back-end systems.
  • Stays current with industry trends and source new ways for our business to improve.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a Bachelor's or Master's degree in Computer Science, Engineering, or related field and two years of related experience.
  • Experience with deployment technologies, such as Kubernetes (K8s) for container orchestration.
  • Experience with metrics monitoring and dashboards (Grafana).
  • Understanding of user access practices and security controls within a system.
  • Understanding of system administration in various OS environments.
  • Strong knowledge of configuration management tools.
  • Strong communication and documentation skills.
  • Understanding of software development lifecycle best practices.
  • Must be able to work both independently and in a team environment.
  • Able to work extended hours as required.

PREFERRED SKILLS AND QUALIFICATIONS
  • Understanding of AWS services and cloud management.
  • Experience executing against database technologies.
  • Experience with configuration management tools (Puppet).
  • Continuous integration processes and tools such as Jenkins.
  • Experience with version control systems (e.g., Git) and collaboration tools.
  • System monitoring and analysis.
  • Familiarity with Intelligence Community and DoD mission sets.
  • CompTIA Security+ certification or willingness to get certified.

What General Atomics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955

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