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Senior Machine Learning Engineer Jobs in Charlottesville, VA

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 ...

Emerson

Machine Operator

Orange, VA · On-site

$16.25 - $19.50/hr

Solid understanding of CNC programming and machining techniques. Preferred Qualifications that Set ... onboarding through senior leadership. We provide a wide range of development opportunities ...

Spgi

Senior Data Scientist

Charlottesville, VA

$90K - $160K/yr

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

Spgi

Senior Data Scientist

Charlottesville, VA · On-site

$90K - $160K/yr

You will be part of a dynamic team that solves diverse problems using applied machine learning and ... Linear programming and optimization. * Multi-dimensional optimizers, such as Adam, SGD, Gradient ...

Laser Thermal

Senior Mechanical Engineer

Charlottesville, VA · On-site

$110 - $155/hr

... learning and engineering excellence. * Support low-volume manufacturing activities and engineering ... Experience with rapid prototyping techniques, including CNC machining, additive manufacturing, and ...

Laser Thermal

Senior Mechanical Engineer

Charlottesville, VA · On-site

$110K - $155K/yr

... learning and engineering excellence. * Support low-volume manufacturing activities and engineering ... Experience with rapid prototyping techniques, including CNC machining, additive manufacturing, and ...

General Atomics

Data Scientist II

Charlottesville, VA · On-site

$81K - $141K/yr

It provides custom software development and innovative information engineering solutions to ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

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Senior Machine Learning Engineer information

See Charlottesville, VA salary details

$59K

$125.5K

$182K

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

As of Aug 22, 2026, the average yearly pay for senior machine learning engineer in Charlottesville, VA is $125,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,300.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Senior Machine Learning Engineer jobs in Charlottesville, VA?

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

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

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

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

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

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Charlottesville, VA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,502 per year, or $60.3 per hour.

Devops Engineer IV

General Atomics

Charlottesville, VA • On-site

$98K - $171K/yr

Full-time

Re-posted 23 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 experienced Senior DevOps Engineers with Top Secret/SCI clearance to help create and develop a new Operations and Maintenance team. You, as well as the team will manage the configuration, deployment and maintenance of deployments for multiple government customers into multiple environments. We are looking for someone who can further improve our deployment process as well as our software in order to deliver what our customers need. The ability to maintain these production systems in a high stakes 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, finds deficiencies with our product delivery lifecycle and architecture and implement industry best practices to improve them.
  • Oversees and offers input over hiring of a small DevOps team to assist the operation and maintenance of our products.
  • Inspects, patches, and upgrades our existing product(s) so that they can more reliably deliver to customer environments.
  • Maintains development, testing, and production environments.
  • Manages continuous integration and delivery pipelines 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.
  • 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 CI/CD tools, and source control (git)
  • 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 nine 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 on-call hours as required.

PREFERRED SKILLS AND QUALIFICATIONS:
  • Understanding of AWS services and cloud management.
  • Experience maintaining existing production kubernetes installations.
  • Experience with kubernetes configuration management systems such as helm and GitOps.
  • Continuous integration processes and tools such as GitLab CI.
  • 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.
Here's a peek into our tech stack. Any extensive knowledge with these is a major plus:
  • Linux development environments
  • Kubernetes (both RKEv2 and AWS)
  • Helm
  • Helmfile
  • Git
  • Java 17+
  • Continuous integration and delivery tools (trivy, linting, testing, other static code analyzers)

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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