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Part Time Machine Learning Consultant Jobs in Chicago, IL

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... Students gain advanced skills in data analytics. multivariate analysis, machine learning, and ...

Carmax

Sales Consultant - Part Time

Naperville, IL · On-site

$15.41 - $20/hr

Position Overview As a Sales Consultant Trainee, you will be the foundation of an iconic, customer ... Bring your ability to connect with people and your passion for learning, and we'll help you grow ...

Carmax

Sales Consultant - Part Time

Glencoe, IL · On-site

$15.41 - $20/hr

Position Overview As a Sales Consultant Trainee, you will be the foundation of an iconic, customer ... Bring your ability to connect with people and your passion for learning, and we'll help you grow ...

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Showing results 21-40

All JobsMachine Learning Consultant JobsPart Time Machine Learning Consultant JobsPart Time Machine Learning Consultant Jobs in Chicago, IL

Part Time Machine Learning Consultant information

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

AspectPart Time Machine Learning ConsultantData Scientist
CredentialsRelevant certifications, such as Coursera or edX machine learning coursesDegree in Data Science, Computer Science, or related fields
Work EnvironmentFreelance or contract basis, often remote or client sitesFull-time in organizations, research labs, or startups
Industry UsageConsulting firms, tech companies, startupsTech companies, finance, healthcare, research institutions
Search & Comparison IntentPart Time Machine Learning Consultant vs Data Scientist

While both roles involve machine learning skills, a Part Time Machine Learning Consultant typically works on specific projects for clients on a flexible schedule, often remotely. In contrast, a Data Scientist usually holds a full-time position within an organization, focusing on ongoing data analysis and model development. The choice depends on your career goals and preferred work environment.

What are the most commonly searched types of Machine Learning Consultant jobs in Chicago, IL? The most popular types of Machine Learning Consultant jobs in Chicago, IL are:
What are popular job titles related to Part Time Machine Learning Consultant jobs in Chicago, IL? For Part Time Machine Learning Consultant jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Machine Learning Consultant jobs in Chicago, IL look for? The top searched job categories for Part Time Machine Learning Consultant jobs in Chicago, IL are:
Part Time Machine Learning Consultant jobs near you
Infographic showing various Part Time Machine Learning Consultant job openings in Chicago, IL as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Adjunct Professor of Computer Science - MPCS (Open-Rank)

The University of Chicago

Chicago, IL • On-site

Part-time

Re-posted 10 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

155th of 615 rated colleges and universities

Job description

Description
The Department of Computer Science at the University of Chicago is seeking qualified applicants for the position of part-time Adjunct Professor (open rank) to teach in its Masters Program in Computer Science (MPCS, https://masters.cs.uchicago.edu).
The search is open with respect to subfield, but we encourage applications from practitioners and educators in the fields of Machine Learning and Artificial Intelligence, Computer Systems. More specifically, the MPCS has specific programmatic needs in Generative AI, High-Performance Computing, and Computer Security.
Selected candidates will be appointed as Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor, depending on qualifications. Adjunct faculty are appointed to an initial one-year term, with possibility of renewal to a three or five year term, and are typically expected to teach at least one course per academic year.
This position is part-time and is not benefits-eligible. Compensation is paid on a per-course basis in the teaching quarter(s). Applicants must currently be authorized to work in the U.S.
Courses are held for nine weeks during each academic quarter, with the tenth week for a final project or exam. Instruction is expected to be primarily in person, with some limited opportunities to offer remote or hybrid courses. Courses can meet in the daytime (meeting 2-3 times a week for a total of up to three hours) or in the evening (meeting once per week for up to three hours). The exact day(s)/time(s) are determined in consultation with the adjunct faculty member.
While university-level teaching experience is preferred, it is not strictly required. Successful applicants without university-level teaching experience will receive coaching and mentoring from more senior instructors before and during a new hire's first course.
Qualifications
Minimum Qualifications:
  • One of the following:
    • A doctorate in Computer Science, Data Science, or a related field at the time of appointment
    • A masters degree and 4 years of relevant professional experience.
    • A bachelor's degree and 8 years of relevant professional experience.

Preferred Qualifications:
  • Teaching experience in Computer Science, Data Science, or a related field at the undergraduate or graduate level, as either an instructor of record or a teaching assistant.
  • Work experience in a computing-related industry.

Application Instructions
Applications must be submitted online through the University of Chicago Jobs website: apply.interfolio.com/170816. Review of applications will begin on September 1, 2025 and continue until the position is filled.
The following materials are required:
  • Cover letter detailing teaching experience (if any) and interests
  • Curriculum vitae
  • A list of three references, including name, title, employer/school and email address

The following optional materials may be submitted:
  • Sample syllabus for a class the applicant has taught before, or would be interested in teaching
  • Teaching evaluations from past teaching at the university level

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