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Machine Learning Instructor Jobs in Illinois (NOW HIRING)

Students gain advanced skills in data analytics. multivariate analysis, machine learning, and database processing. We seek instructors with professional experience in data science and analytics, who ...

What We're Looking For: * 5+ years of experience in the heavy equipment or mobile machinery ... Basic familiarity with Learning Management Systems (LMS) and training data tracking tools is a plus.

Showing results 41-60

Machine Learning Instructor information

See Illinois salary details

$32.5K

$57.7K

$115.3K

How much do machine learning instructor jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning instructor in Illinois is $57,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,600.00 and $63,000.00 per year, depending on experience, location, and employer.

What is a machine learning instructor?

A Machine Learning Instructor is a professional who teaches students or professionals the fundamentals and advanced concepts of machine learning. They design course materials, deliver lectures, create exercises, and guide learners in applying ML techniques to real-world problems. Instructors may work in universities, coding bootcamps, or corporate training programs. Strong expertise in ML algorithms, programming (Python, TensorFlow, PyTorch), and data science is typically required.

What are the key skills and qualifications needed to thrive as a machine learning instructor?

To thrive as a Machine Learning Instructor, you need a strong background in mathematics, statistics, programming (often in Python), and practical experience with ML frameworks, typically supported by an advanced degree in a related field. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and relevant teaching certifications or online course development platforms is highly valued. Outstanding communication, patience, and the ability to break down complex concepts make someone stand out in this position. These skills are vital for effectively teaching diverse learners and keeping up with the rapidly evolving field of machine learning.

What are the typical daily responsibilities of a machine learning instructor?

Machine Learning Instructors usually spend their days preparing and delivering lectures or workshops, creating course materials, and guiding students through hands-on coding exercises and projects. They are also responsible for assessing student progress, providing feedback, and staying updated on the latest machine learning trends to incorporate into their teaching. Collaboration with other instructors and curriculum developers is common to ensure content quality and cohesion. This role often involves mentoring students, answering questions, and helping troubleshoot technical issues, contributing to a dynamic and engaging learning environment.

What are popular job titles related to Machine Learning Instructor jobs in Illinois? For Machine Learning Instructor jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Instructor jobs in Illinois look for? The top searched job categories for Machine Learning Instructor jobs in Illinois are:
Infographic showing various Machine Learning Instructor job openings in Illinois as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% In-person job distribution, with an average salary of $57,715 per year, or $27.7 per hour.

APTPUO Winter 2027- MIA- 5130 (REPOST)

Uottawa

Campus, IL • On-site

$239.47/hr

Part-time

PTO

Re-posted 2 days ago


Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de conception et d'innovation pedagogique en genie \\ School of Engineering Design and Teaching Innovation

Course Title:

SYSTEMS OPTI AND MNGT

Course Code:

MIA5130

Section:

A

Course Description:

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/06/05

Applications must be received BEFORE (YYYY/MM/DD):

2026/08/15

Expected Enrolment:

30

Approval date:

2026/07/14

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Active

Course Schedule:

Lundi | Monday 19:00-22:00 - -

Requirements:

Requirements
Ph.D. in computer science, engineering, mathematics, operations research, or a closely related field with strong focus on AI/ML is required.
Experience teaching a similar course at the graduate level and/or undergraduate level
Experience working on projects involving optimization techniques, such as developing algorithms, modelling complex systems, or improving business processes, with applications in AI, machine learning, or data-driven decision systems.
Experience working with optimization tools and computational methods, such as Python, MATLAB, and/or optimization libraries/solvers
Familiarity with AI or data-driven approaches in optimization, such as machine learning-enhanced optimization, heuristic methods, and intelligent decision systems.
Demonstrated industry experience applying AI, optimization, or data-driven methods to real-world problems including areas such as system optimization, data analysis, or process improvement, is highly desirable

Additional Information and/or Comments:

The course is online

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.