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Machine Learning Part Time Jobs in Illinois (NOW HIRING)

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Machine Learning Part Time information

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$24.7K

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$85.3K

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

As of Jul 20, 2026, the average yearly pay for machine learning part time in Illinois is $41,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 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 Illinois? The most popular types of Machine Learning jobs in Illinois are:
What are popular job titles related to Machine Learning Part Time jobs in Illinois? For Machine Learning Part Time jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Illinois look for? The top searched job categories for Machine Learning Part Time jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Part Time jobs? Cities in Illinois 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 Illinois 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 $41,265 per year, or $19.8 per hour.
Part-time Lecturers - Biomedical Informatics #PED226

Part-time Lecturers - Biomedical Informatics #PED226

The University of Chicago

Chicago, IL • On-site

Part-time

Re-posted 25 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

137th of 555 rated colleges and universities

Job description

Description
The Department of Pediatrics at the University of Chicago seeks part-time lecturers to develop and teach courses in the Master of Science in Biomedical Informatics (https://bmi.bsd.uchicago.edu) program. These positions are renewable. Compensation is dependent on qualifications. These positions are benefits ineligible.
Demand for more sophisticated health information systems and medical research methodologies is rapidly growing due to advances in technology, volume of available health data, and policy initiatives. With a high premium placed on improved delivery of care, therapeutics and outcomes, the skills students acquire in the Master of Science in Biomedical Informatics prepare them to master the foundation of informatics and develop solutions to address these growing needs and current healthcare challenges.
The program operates remotely and on a quarterly schedule, with 9 or 10 weeks of instruction per quarter. Appointees will teach from the following list of courses:
• Introduction to Biostatistics
• Introduction to R Programming
• Overview of Clinical Care Systems
• Introduction to Biomedical Informatics
• Leadership and Innovation for Informatics
• Concepts in Computer Programming
• Ethics and Policy Questions: Genomics, Healthcare and Big Data
• Introduction to Applied Data Analysis
• Advanced Concepts in Computer Programming
• Intermediate Applied Data Analysis
• HIT Integration, Interoperability Standards
• Decision Support Systems & Health Care
• Introduction to Bioinformatics
• Advanced Bioinformatics: Genome Analysis
• Geographic Information Systems and Health Information
• Population Health Informatics
• Machine Learning for Biomedical Informatics
• Capstone Proposal and Research Methods
• Capstone Implementation, Writing and Presentation
Appointees will be required to develop the syllabus, synchronous class content for remote sessions, asynchronous content, assignments, and provide timely assignment feedback and grade submission(s). They will also need to manage the Canvas course site, attend all class sessions, hold weekly office hours, attend quarterly instructor meetings, participate in the capstone project process and co-curricular programming.
Prior to starting employment, qualified applicants must have 1) a graduate-level degree in a relevant field and 2) have relevant experience in biomedical informatics, clinical care, medical research, or practical experience in health care related fields.
Candidates with prior teaching experience and/or relevant practical experience are strongly preferred. Additionally, candidates with a PhD and/or MD are preferred.
To be considered, those interested must apply through The University of Chicago's Recruitment job board, which uses Interfolio to accept applications: https://apply.interfolio.com/181100.
Applicants must upload 1) a cover letter, 2) a curriculum vitae or resume, 3) a proposed syllabus that covers the course topic in sufficient detail, 4) a teaching statement, and 5) teaching evaluations. Review of applications will end when the positions are filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.
Equal Employment Opportunity Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email equalopportunity@uchicago.edu with their request.

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