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Executive Full Stack Machine Learning Engineer Jobs in Fredericksburg, VA

Full Stack Developer Location: King George, VA (hybrid work may be available). As a Full Stack ... Artificial Intelligence and Machine Learning Clearance: * Active Secret (willing to get a TS); can ...

Full Stack Engineer

Stafford, VA · On-site

$100K - $130K/yr

As a Full Stack Engineer, you'll design, develop, and maintain modern web applications that support mission-critical initiatives for the Department of Veterans Affairs. You'll work across the full ...

Responsibilities As a Full Stack Developer on this program, you will use your expertise and ... Artificial Intelligence and Machine Learning Equal Pay Act This is the projected compensation range ...

As a Full Stack Developer on this program, you will use your expertise and experience in the following areas and activities to deliver solutions and services to our customer: * Working from ...

Additionally, the CODIS software is used to assist with the identification of unidentified human remains, missing persons and disaster victims We are seeking a highly skilled Senior Developer to ...

... and machine learning operations. The main duty for this position is to design, optimize, and ... Enabling our software developers by providing the foundational tools, reliable deployment workflows ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

Support and operationalize machine learning models and analytics workflows * Develop and maintain ... Promote best practices in data engineering, governance, and data lifecycle management * Support ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... machine learning models and analytics workflows • Develop and maintain APIs for data access and ... engineering practices • Provide ad hoc data analysis and support self-service data access for ...

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Support and operationalize machine learning models and analytics workflows * Develop and maintain ... Promote best practices in data engineering, governance, and data lifecycle management * Support ...

You will be part of a Team of Network Technicians and Engineers servicing the Navy sites. This ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

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Showing results 1-20

Executive Full Stack Machine Learning Engineer information

See Fredericksburg, VA salary details

$43.8K

$132.5K

$187.3K

How much do executive full stack machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for executive full stack machine learning engineer in Fredericksburg, VA is $132,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $155,400.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Fredericksburg, VA? For Executive Full Stack Machine Learning Engineer jobs in Fredericksburg, VA, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Fredericksburg, VA look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Fredericksburg, VA are:
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Fredericksburg, VA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $132,533 per year, or $63.7 per hour.

Full Stack Developer

Vervic Inc.

King George, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Vision insurance

Title: Full Stack Developer
Location: King George, VA (hybrid work may be available).
Job Description:
As a Full Stack Developer on this program, you will use your expertise and experience in the following areas and activities to deliver solutions and services to our customer:
  • Working from requirements specifications to develop or modify software applications.
  • Designing, coding, benchmark testing, debugging, and documenting application features and changes.
  • Reviewing and assessing existing enterprise applications to support new features, performance improvements, upgrades, and ongoing sustainment.
  • Participating in performance, load, and stress testing, and remediation of issues identified.
  • Participating in security architecture reviews of large enterprise systems.
  • Participating in the development of new systems throughout the entire application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainment.
  • Participating in activities that ensure the successful use of these systems, including developing documentation, test scripts, and training materials.
  • Working in an agile team environment participating in sprint planning, retrospectives, reviews, and daily standups.
Required Skills:
  • BS and 8-10 years' experience. MS and 6-8 years' experience, or PhD and 3-5 years' experience
  • Active or Interim DoD SECRET clearance with ability to obtain and maintain a TS/SCI Clearance.
  • DoDD 8140.01 Information Assurance Management (IAM) Level I certification or higher.
  • Experience designing, implementing, supporting, and analyzing enterprise-scale applications using the following technologies: .NET Core, Angular, JavaScript, C#, and SQL Server.
  • Proficiency with modern development toolsets including Visual Studio, SQL Server Management Studio, git, unit testing frameworks, and task tracking such as GitLab.
  • Experience designing, implementing, supporting, and analyzing enterprise-scale applications that perform extract/transform/load (ETL) operations with external data sources and SQL Server.
  • Familiarity with distributed version control tools such as git and Mercurial.
  • Comprehensive knowledge in the definition and management of software requirements, design, code, benchmark testing, debugging, software development lifecycle, architecture, and documentation.
  • Experience with and proficient in at least one of the following Object-oriented programming (OOP) languages: C/C++, C#, Java, or Python.
  • Experience in Agile software web development and microservices specifically in the following technology areas:
    • C# / .NET
    • Angular 2+ (18 preferred)
    • TypeScript
    • PostgreSQL
Desired Skills:
  • Experience working on custom development software projects.
  • Experience working with DoD customers.
  • Experience working on cybersecurity projects.
  • Additional experience in the following technology areas is preferred:
    • Jenkins
    • ElasticSearch
    • Big Data cluster
    • Continuous Integration / Continuous Development (CI/CD) pipeline
    • Red Hat, OpenShift, Kubernetes, and Docker.
    • Automated Testing tools and processes used to support various testing requirements including data, UI, load/performance, security, and contract testing.
    • Artificial Intelligence and Machine Learning
Clearance:
  • Active Secret (willing to get a TS); can start with Secret.
EOE