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Machine Learning Part Time Jobs in Virginia Beach, VA

HII

FALL 2026 DESIGNER CO-OP

Newport News, VA

$37K - $51K/yr

Yes Part-Time Shift: 1st Relocation: No relocation assistance available Virtual/Telework ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Booz Allen Hamilton, Inc.

DCIM Administrator

Hampton, VA · On-site +1

$86K - $198K/yr

Ability to collaborate with other analysts to deploy machine learning models and enable advanced ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

Experience with artificial intelligence and machine learning frameworks for monitoring and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

DCIM Administrator

Hampton, VA · On-site +1

$86K - $198K/yr

Ability to collaborate with other analysts to deploy machine learning models and enable advanced ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Norfolk, VA · On-site +1

$77K - $176K/yr

You Have: * 2+ years of experience with artificial intelligence, data science, machine learning ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Rivers Casino

Cage Cashier (part-time)

Portsmouth, VA · On-site

$18.75/hr

Responsible for learning and performing a wide variety of monetary transactions for the guest, such ... May at times respond to a guest dispute at a lottery machine. * Handles guest questions, complaints ...

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All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in Virginia Beach, VA

Machine Learning Part Time information

See Virginia Beach, VA salary details

$24.2K

$40.4K

$83.5K

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

As of Jul 29, 2026, the average yearly pay for machine learning part time in Virginia Beach, VA is $40,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,700.00 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 Beach, VA? The most popular types of Machine Learning jobs in Virginia Beach, VA are:
What are popular job titles related to Machine Learning Part Time jobs in Virginia Beach, VA? For Machine Learning Part Time jobs in Virginia Beach, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Virginia Beach, VA look for? The top searched job categories for Machine Learning Part Time jobs in Virginia Beach, VA are:
What cities near Virginia Beach, VA are hiring for Machine Learning Part Time jobs? Cities near Virginia Beach, VA 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 Beach, VA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,413 per year, or $19.4 per hour.
Senior Consultant - Computational Aerothermodynamics & Machine Learning

Senior Consultant - Computational Aerothermodynamics & Machine Learning

Analytical Mechanics Associates

Hampton, VA • On-site, Remote

$59 - $69/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

Job Description:
56-$69 Analytical Mechanics Associates (AMA) is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&S), and machine learning (ML).
Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment.
The hourly rate for this position is $59-$69 an hour commensurate with experience and education.
Key Responsibilities:
  • Technical Advisory: Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.
  • Machine Learning Integration: Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.
  • Design & Architecture Review: Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.
  • Strategic Roadmapping: Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.
  • Mentorship & Collaboration: Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.

Required Qualifications:
  • Education: Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.
  • Experience: A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&S, and ML.
  • Domain Expertise: Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).
  • Machine Learning Proficiency: Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.
  • Communication: Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.

Preferred Qualifications:
  • Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).
  • Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).
  • Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.
  • History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.

This position requires U.S. Citizenship or Permanent Residence.
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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