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Machine Learning Part Time Jobs in Wakefield, MA

Senior Software Engineer

Quincy, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Staff Software Engineer

Lowell, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Backend Developer

Lowell, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Software Engineer Analyst

Quincy, MA · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

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Showing results 1-20

Machine Learning Part Time information

See Wakefield, MA salary details

$26.9K

$44.9K

$92.8K

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

As of May 30, 2026, the average yearly pay for machine learning part time in Wakefield, MA is $44,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $48,500.00 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 cities near Wakefield, MA are hiring for Machine Learning Part Time jobs? Cities near Wakefield, MA with the most Machine Learning Part Time job openings:
Infographic showing various Machine Learning Part Time job openings in Wakefield, MA as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $44,892 per year, or $21.6 per hour.
Part-Time Lecturer - MPS in Applied Machine Intelligence (Boston)

Part-Time Lecturer - MPS in Applied Machine Intelligence (Boston)

NorthEastern

Boston, MA

$1.53K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

About the Opportunity

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach in the Master or Professional Studies Applied Machine Intelligence, located on-ground and or online in Boston, MA.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

The Master of Professional Studies in Applied Machine Intelligence is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry.

Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The Applied Machine Intelligence degree is a multi-disciplinary, experience-based program that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Qualifications

Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience.

Preference for candidates with a Ph.D. in a sciences field or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Application Materials

Applicants should submit materials including a cover letter and vitae. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Please direct questions to Shachi Winton (s.winton@northeastern.edu).

Applications will be reviewed until the position is filled.

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 $1,529