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Machine Learning Contract Remote Jobs in Virginia

Remote - Patent Attorneys

Fairfax, VA · Remote

$280K - $350.03K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... flexibility while providing access to sophisticated, high-profile work and a collaborative team ...

Remote - Patent Agents

Fairfax, VA · Remote

$280K - $350.03K/yr

... such as AI, Machine Learning, Cloud, Wireless and Data Storage. This role offers full remote ... flexibility while providing access to sophisticated, high-profile work and a collaborative team ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

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Machine Learning Contract Remote information

See Virginia salary details

$7

$22

$56

How much do machine learning contract remote jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning contract remote in Virginia is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

What cities in Virginia are hiring for Machine Learning Contract Remote jobs? Cities in Virginia with the most Machine Learning Contract Remote job openings:

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time

Position Overview

The selected candidate will serve as a senior technical authority supporting the design, development, integration, and maintenance of advanced software, artificial intelligence, and machine learning solutions within a secure mission environment. This role requires extensive expertise in software engineering, systems analysis, cloud technologies, and AI/ML methodologies supporting complex operational and technical requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of sixteen (16) years of relevant experience; OR
  • Twenty-one (21) years of related professional experience in lieu of a degree
  • Minimum of sixteen (16) years of software engineering, artificial intelligence, or machine learning experience
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with Polygraph
  • Demonstrated experience leading complex technical and operational initiatives
Duties and Responsibilities
  • Design, develop, test, and maintain enterprise software and AI/ML systems
  • Analyze software and system requirements to develop technical solutions supporting operational objectives
  • Evaluate and improve software performance, scalability, reliability, and maintainability
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with engineers, analysts, developers, and stakeholders to support system integration and deployment
  • Modify and enhance existing software applications to improve functionality and resolve technical issues
  • Analyze interfaces between hardware and software systems and define performance requirements
  • Support installation, configuration, testing, and maintenance of software systems and applications
  • Develop and maintain applications within cloud-based environments, including modernization of legacy systems
  • Estimate software development schedules, technical risks, and resource requirements
  • Apply analytical, mathematical, and engineering methods to evaluate system performance and software outcomes
  • Lead AI and machine learning initiatives including model development, data analysis, automation, and predictive analytics
  • Provide technical leadership, mentoring, and guidance to engineering and development teams
  • Support troubleshooting, root cause analysis, and resolution of highly complex technical issues
Required Knowledge, Skills, and Abilities
  • Expert knowledge of software engineering principles, artificial intelligence, machine learning, programming, and systems analysis
  • Experience developing applications in cloud and enterprise environments
  • Ability to analyze user requirements and translate them into scalable technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, organizational, and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to lead technical teams and collaborate across multidisciplinary environments
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Web application development technologies including HTML, JavaScript, Apache Struts, and Ruby on Rails
  • Software testing, usability testing, and defect tracking tools including Mercury Interactive LoadRunner
  • Source code editors and software development environments
  • Desktop computing systems, high-end servers, and application server technologies
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.