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Part Time Machine Learning Software Engineer Jobs

TripleTen

$40 - $150/hr

Description Nebius Academy is an international online learning platform helping engineering teams ... Our Machine Learning curriculum covers the full ML lifecycle: from foundational concepts and ...

Booz Allen Hamilton, Inc.

AI/ML Software Engineer

Rome, NY · On-site

$86.80K - $198K/yr

... and machine learning solutions that help solve The Department of War (DoW) and Intelligence ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Software Engineer

Arlington, VA · On-site

$86.80K - $198K/yr

... machine learning solutions that help solve the world's toughest problems. On our team, you'll ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Mindrift

Freelance Machine Learning Engineer

$90/hr

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and ...

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Part Time Machine Learning Software Engineer information

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$63.5K

$147.5K

$205.5K

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

As of May 30, 2026, the average yearly pay for part time machine learning software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Machine Learning Software Engineer, and why are they important?

To thrive as a Part Time Machine Learning Software Engineer, you need strong programming skills in languages like Python, a solid understanding of machine learning concepts, and relevant experience or a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is typically required. Excellent problem-solving abilities, time management, and clear communication are essential soft skills, especially when working independently or with remote teams. These skills ensure you can efficiently develop, implement, and maintain machine learning solutions while collaborating effectively on a flexible schedule.

How does working part-time as a Machine Learning Software Engineer impact collaboration with full-time team members?

As a part-time Machine Learning Software Engineer, you may encounter unique challenges in staying aligned with full-time colleagues, especially when working on fast-paced or iterative projects. Effective communication, clear documentation, and regular check-ins are essential to ensure seamless collaboration and project continuity. Many teams use asynchronous tools and flexible stand-up meetings to accommodate varying schedules, allowing part-time engineers to contribute meaningfully without missing critical updates. Proactively engaging with teammates and being transparent about your availability are key to maintaining strong collaborations and delivering successful outcomes.

What does a Part Time Machine Learning Software Engineer do?

A Part Time Machine Learning Software Engineer develops and deploys machine learning models and algorithms on a flexible, part-time schedule. They work on tasks such as data preprocessing, feature engineering, model training, and evaluation, often contributing to software projects that incorporate AI solutions. These engineers collaborate with teams to integrate machine learning models into applications, ensuring efficiency and accuracy, while balancing their workload within limited hours. Their role is ideal for those seeking flexible work arrangements in the rapidly evolving field of artificial intelligence.

What is the difference between Part Time Machine Learning Software Engineer vs Data Scientist?

AspectPart Time Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and software solutions; often collaborates with engineering teamsAnalyzes data, builds models, interprets results; may work in research or business teams
Industry UsageUsed in tech companies, startups, and industries applying ML solutionsCommon in finance, healthcare, marketing, and research sectors

While both roles involve working with data and algorithms, a Part Time Machine Learning Software Engineer primarily focuses on developing and deploying ML models within software applications, often in a part-time capacity. A Data Scientist emphasizes data analysis, interpretation, and modeling to inform business decisions. The roles overlap in skills and tools but differ in their core focus and responsibilities.

What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
What states have the most Part Time Machine Learning Software Engineer jobs? States with the most job openings for Part Time Machine Learning Software Engineer jobs include:
Part Time Machine Learning Software Engineer jobs near you

Temporary R&D Software Engineer

Northeastern University

Burlington, MA • On-site

$35/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

About the Opportunity
The Kostas Research Institute (KRI) at Northeastern University (NU) - a rapidly growing institute that conducts cutting-edge applied R&D - is seeking a highly motivated and enthusiastic part-time, temporary, and non-benefitted Research & Development (R&D) Engineer with expertise in Software Engineering. The R&D Engineer is expected to work as part of a multi-disciplinary team and contribute to the successful execution of R&D projects.
Responsibilities include providing technical contributions as a software engineer for a wide range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The R&D Engineer will work collaboratively with multi-disciplinary teams across the KRI consortium, consisting of academic and industry partners, to create solutions and prototypes for projects in application areas, including autonomous systems, robotics, cognitive and distributed sensing, and machine learning systems, among others.
Successful candidates will be responsible team players and passionate about cutting-edge technologies, as well as possess a deep understanding of ML/AI technology and experience in turning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will be required.
The Kostas Research Institute was founded with a focus on homeland security research and development. Today, KRI strives to advance resilience in the face of 21st century risks across a wide range of technologies, emphasizing a collaborative approach that leverages our R1 university intellectual capital and technologies to develop application-specific solutions to customer needs. KRI focuses on satisfying customer-driven needs by co-locating a diverse, highly skilled R&D team that can address all aspects of a particular problem across the full range of technology-readiness levels. KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
This position is with KRI at Northeastern University, LLC, a wholly-owned subsidiary of NU. The primary office for this position is located at NU's ICBM.
1.Minimum Qualifications
Education and Experience
  • Required: Undergoing or completed B.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

Required Skills/Attributes
  • Proficiency in developing and testing software packages
  • Proficiency with high-level object-oriented programming and scripting languages, such as Python, C++, Java
  • Experience with high-performance computing environments.
  • Understanding and experience with Python frameworks, such as Pandas, SciPy and NumPy
  • Experience working within software development spaces such as GitHub
  • A passion to learn and constantly expand knowledge base
  • Comfortable working with novel/emerging technologies
  • Passion for developing new prototypes and solutions
  • Self-motivated worker capable of contributing to technical planning for a project
  • Ability to work with a small team and share knowledge with others

Preferred Skills/Attributes
  • M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • US Citizenship with the ability to obtain a security clearance.

Position Type
Temporary
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 Rate:
$35.00/hr

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