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Remote Full Stack Machine Learning Engineer Jobs in West Virginia

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

$140K - $200K/yr

About the Role: We're hiring a Staff Security Engineer, a senior, polyglot, full-stack Application ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$140K - $200K/yr

About the Role: We're hiring a Staff Security Engineer, a senior, polyglot, full-stack Application ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

... full-stack, flexible, digital & increasingly AI-native insurance platform. This helps our primary ... All team members also receive LinkedIn Learning subscriptions and access to multiple different ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning and other engineers - who are driving real‐world impact in AI development. Our ...

... the Braid AI stack. * Stay at the forefront of advancements in LLM optimization, retrieval ... engineering, analytics, and machine learning projects * Documented strong understanding of the ML ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

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Remote Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in West Virginia? For Remote Full Stack Machine Learning Engineer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in West Virginia look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in West Virginia are:
What cities in West Virginia are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in West Virginia with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in West Virginia as of May 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, and 2% Contract. Highlights an 93% Physical, and 7% Remote job distribution.
AI/ML Software Developer

AI/ML Software Developer

Maximus

Wheeling, WV • Remote

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret security clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

- Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems

- Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management

- Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts

- Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices

- Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment

- Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies

- Supports system accreditation, documentation, testing, and evaluation activities

- Collaborates with Government and contractor teams across development, integration, and readiness environments

- Participates in Agile program increment (PI) planning and activities requiring periodic travels

Job-Specific Minimum Requirements:

- Active Secret security clearance required

- Bachelor’s degree in related field required
- A Master’s degree may substitute for 2 years of experience
- 5 years of experience in the functional area

- 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).

- 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.

- Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.

- 3 years of experience testing web-based applications.

- 3 years of experience participating in software development programs or projects.

- Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.

- 5 years of experience with Jenkins and GitLab.

- Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

Preferred Skills and Qualifications:

- Experience using Agile Test-Driven Development

- Experience integrating into DoD DevSecOps environments

- 5 years of experience with CI/CD software development

- Experience supporting RMF accreditation and security assessment activities

- Experience with model monitoring, explainability, and Responsible AI practices

- Experience integrating AI/ML services into operational dashboards or decision support platforms

#techjobs #clearance #veteranspage # USCYBERCOM

Minimum Requirements

TCS195, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

Minimum Salary

$

110,000.00

Maximum Salary

$

145,000.00


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