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Part Time Edge Ai Machine Learning Jobs (NOW HIRING)

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team ...

Solid understanding of NLP, machine learning, and modern deep learning techniques. * Hands-on ... Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team ...

This role is for one of our clients Compensation: $80-$110 per hour Join a cutting-edge AI research ... This is a part-time, fully remote opportunity requiring approximately 20 hours per week

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an AI/Machine Learning Engineer, you'll lead the design, development, and deployment of advanced ... Optimize and deploy AI/ML models for edge environments, applying techniques such as quantization ...

$152K/yr

We're looking for the person who brings an AI and Machine Learning curriculum to life for students: hosts the live sessions, reviews the work, runs the model and system review boards, and sets the ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Part Time Edge Ai Machine Learning information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 17, 2026, the average yearly pay for part time edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Edge Ai Machine Learning vs Part Time Data Analyst?

AspectPart Time Edge Ai Machine LearningPart Time Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of AI/ML frameworksDegree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, startups, or AI-focused firms; often remote or flexible hoursBusiness, finance, healthcare sectors; typically office or remote
Employer & Industry UsageAI development, machine learning projects, tech industryBusiness intelligence, reporting, data-driven decision making

Part Time Edge Ai Machine Learning roles focus on developing and implementing AI models, requiring technical skills in machine learning frameworks. In contrast, Part Time Data Analyst positions emphasize analyzing data sets to generate insights, often with a focus on reporting. Both roles are in high demand but serve different functions within organizations.

More about Part Time Edge Ai Machine Learning jobs

What are the most commonly searched types of Edge Ai Machine Learning jobs?

The most popular types of Edge Ai Machine Learning jobs are:

Infographic showing various Part Time Edge Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

$140K/yr

Part-time

PTO

Re-posted 17 days ago


Job description

hackajob is collaborating with Lockheed Martin - US to connect them with exceptional professionals for this role.

WHAT WE’RE DOING

At Lockheed Martin, we're at the forefront of

cutting-edge technology and innovation. Our

campus in Manassas, Virginia is a hub for

engineering excellence, where we tackle some

of the world's most challenging engineering

problems. We pride ourselves on our culture of

creativity, excellence, and product innovation.

WHO WE ARE

In this exciting role, you will have the

opportunity to collaborate with industry-leading

design professionals and contribute to

groundbreaking projects. Be a part of the

Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team working with the Advanced Development Team on the

Integrated Common Processor (ICP) program.

The ICP program provides a common

Integrated Undersea Surveillance Systems

(IUSS) signal processing and display system

software and hardware suite for the US Navy.

Work with our team as we develop cutting

edge tools for our Navy customer through the integration of Artificial Intelligence and

Machine Learning capabilities into tactical

systems.

In this position you will be responsible for:

  • Software development and debugging of an MLOps workflow integrated into a tactical system both in the lab and at customer sites
  • Dataset curation, labeling, and training AI/ML models
  • Validating and analyzing AI/ML algorithm results, iteratively improving results
  • Generating data sets for use by the team in

system testing and algorithm development

  • Traveling to the tactical site to exercise the ML lifecycle (up to 25% of the time)

WHO YOU ARE

To excel in this role, you should possess the

following qualifications and attributes:

  • An innovative mindset, capable of finding

solutions to complex engineering challenges.

  • Commitment to excellence, attention to detail,

and a dedication to delivering high-quality

results.

Why Join Us

Your Health, Your Wealth, Your Life

Joining Lockheed Martin means becoming part

of a team that's making a significant impact in

the field of engineering. When you choose to

work with us, you'll enjoy:

  • An excellent working environment equipped

with state-of-the-art tools.

  • The opportunity to work alongside industry

leaders and top-notch design professionals as

well as Subject Matter Experts in Sonar and

Acoustics.

  • A chance to be a part of solving some of the

world's most challenging engineering problems

regarding highly complex and integrated

subsystems.

  • A culture that encourages creativity,

excellence, and the development of remarkable

products.

Basic Qualifications

  • Bachelor's or Master's Degree is Software Engineering, Computer Science, Machine Learning, or related STEM degree
  • Experience in Software development, integration, and test
  • Familiarity with Linux
  • Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab

Desired Skills

  • Experience with AI/ML disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets
  • DevOps experience including CI/CD pipelines to build, test, deploy
  • Experience with Acoustic Displays – reading Sonar GRAMS
  • Experience with IUSS
  • Experience with C/C++, CUDA, NVIDIA libraries, cloud, containers & modern AI tools, or have implemented AI inferencing streaming (e.g. Triton, kserve, etc.)
  • Experience with production ML and High Performance Compute development systems
  • Strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule
  • Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers
  • Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics – not afraid to challenge the existing approach to solutions
  • Comfortable working in a fast paced and dynamic multi-disciplinary environment

Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level: Secret

Other Important Information You Should Know

Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position: 4x10 hour day, 3 days off per week

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.

At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.

Experience Level: Experienced Professional

Business Unit: RMS

Relocation Available: Possible

Career Area: Artificial Intelligence

Type: Full-Time

Shift: First