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Machine Learning Part Time Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$69K - $158K/yr

Experience with application areas of machine learning, including computer vision, natural language ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience developing production-quality machine learning models or pipelines * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Ability to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Reston, VA · On-site

$77K - $176K/yr

Experience with machine learning, AI, or NLP * Experience applying and querying SIGINT, GEOINT ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience developing production-quality machine learning models or pipelines * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Virginia

Machine Learning Part Time information

See Virginia salary details

$25.3K

$42.2K

$87.2K

How much do machine learning part time jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning part time in Virginia is $42,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Virginia? The most popular types of Machine Learning jobs in Virginia are:
What are popular job titles related to Machine Learning Part Time jobs in Virginia? For Machine Learning Part Time jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Virginia look for? The top searched job categories for Machine Learning Part Time jobs in Virginia are:
What cities in Virginia are hiring for Machine Learning Part Time jobs? Cities in Virginia with the most Machine Learning Part Time job openings:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Virginia as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,218 per year, or $20.3 per hour.
Part-Time Lecturer - MGEN (Arlington)

Part-Time Lecturer - MGEN (Arlington)

NorthEastern

Arlington, VA

$2.6K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

About the Opportunity

About the Opportunity

The Multidisciplinary Graduate Engineering (MGEN) unit, within the College of Engineering, invites applications for the Adjunct Faculty position for teaching selected graduate courses for the multidisciplinary masters degree programs in Arlington, Virginia.

The MGEN unit seeks to produce more effective software engineers who are substantially more capable than ever of addressing the needs of digital society in terms of time, cost, and quality. The unit will accomplish this by revolutionizing the way software is designed and evolved overtime, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs:http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities:

Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs:http://www.coe.neu.edu/graduate-school/multidisciplinary

Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course.

The multidisciplinary masters suite of degree programs in Arlington include:

MS in Information Systems focuses on the intersection of cutting-edge technology and business complexity with an emphasis on the art and science of designing intricate software applications especially in the areas of healthcare, security and privacy, auditing and compliance, business improvement and intelligence, as well as financial accountability. Courses include application engineering and development, engineering big-data systems, and engineering secure software systems.

MS in Information Systems Bridge is focused for students with non-STEM, non-technical bachelor's degrees that are the knowledge link between business users and technologists by understanding the complexities of both. Students' undergraduate work in the humanities provides them with a unique perspective and approach in developing systems via a socio-technical lens. Students take courses specifically designed to bridge their current professional pursuits with the background and industry knowledge needed to advance in the IT sector. As industries launch into a digitized future, professionals with a clear understanding of how technology can be used to address large societal challenges are in demand.

The MS in Software Engineering Systems approaches software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and results-focused leaders. Their knowledge at the three-way intersection of computer science, engineering, and ethics enables them to have real-world societal impact in high-demand fields across industries.

Qualifications:

M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred. Must have strong, effective verbal skills to communicate well with students.

Position Type

Academic

Additional Information

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,625

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