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Artificial Intelligence And Machine Learning Jobs in Illinois

Machine Learning Engineer

Chicago, IL · On-site

$100 - $125/hr

Stay updated with the latest advancements in the field of machine learning and artificial intelligence, including tools, conferences, and industry blogs. Possess a solid understanding of capital ...

... artificial intelligence solutions to drive data-informed decision-making across the enterprise ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

... artificial intelligence solutions to drive data-informed decision-making across the enterprise ... Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ...

AI Tech Lead

Bloomington, IL · On-site

$150 - $200/hr

OR * Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field and 8+ years of experience. * 5+ years of experience in software engineering, focused on AI/ML ...

Principal Applied Scientist

Chicago, IL · On-site

$214K - $350K/yr

Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities. * Leads the design, validation, deployment, monitoring, and continuous ...

Principal Applied Scientist

Chicago, IL · On-site

$214K - $350K/yr

Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities. * Leads the design, validation, deployment, monitoring, and continuous ...

Showing results 41-60

Artificial Intelligence And Machine Learning information

See Illinois salary details

$13

$25

$47

How much do artificial intelligence and machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence and machine learning in Illinois is $25.53, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $27.02 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What job categories do people searching Artificial Intelligence And Machine Learning jobs in Illinois look for?

The top searched job categories for Artificial Intelligence And Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Artificial Intelligence And Machine Learning jobs?

Cities in Illinois with the most Artificial Intelligence And Machine Learning job openings:

Infographic showing various Artificial Intelligence And Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $53,106 per year, or $25.5 per hour.

Adjunct Faculty in Artificial Intelligence

DePaul University

Chicago, IL • On-site

Full-time, Part-time

Re-posted 6 hours ago


Key responsibilities

  • Teach courses related to artificial intelligence, including machine learning, deep learning, natural language processing, reinforcement learning, robotics, and computer vision.

  • Design and deliver course content that covers core AI concepts and techniques.

  • Participate in the academic scheduling process and conduct classes as per the assigned quarterly schedule.


DePaul University rating

7.2

Company rating: 7.2 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

390th of 631 rated colleges and universities


Job description

Description
DePaul's Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago's Loop, the central business district of Chicago. Our students represent many different experiences, perspectives, and cultures, and the university strives to recruit and sustain a faculty community where all backgrounds are valued and supported. Part-time teaching positions are available throughout the academic year, including summer sessions. Academic course schedules fluctuate from quarter to quarter, and the college will work with selected individuals to determine a quarterly schedule. Courses are not guaranteed, however the college does its best to give ample notice about available courses. Applicants with expertise that matches course scheduling needs will be contacted for an interview.
The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx.
Qualifications
Minimum requirements include a master's degree in the discipline, or 18 semester/27 quarter hours of graduate work in the discipline, or an undergraduate degree with a minimum of five years demonstrated relevant professional experience. Exceptions may be considered with approval of the dean.
Application Instructions
The School of Computing offers a MS in Artificial Intelligence degree. At the end of the degree, students will be able to design and implement complex intelligent systems and integrate AI techniques into existing applications and processes. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.
Considerations:
Exceptions to standard rates may apply to courses with unique credit hours, supervision, labs, clinical/practicum courses, coaching, administrative tasks, and courses that are either over-enrolled or under-enrolled.
General Compensation/Benefits Statement:
DePaul University has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The salary offered to the selected candidate will be determined based on factors such as (but not limited to) the qualifications, education, experience, and training of the selected candidate, the scope and responsibilities of the position, departmental budget availability, internal salary equity considerations, and available market information.
DePaul University offers a variety of benefit options for qualified part-time employees. Further information regarding benefits can be found here: https://offices.depaul.edu/human-resources/benefits/part-time/Pages/default.aspx
About DePaul University's Academic Calendar:
Except for the College of Law, DePaul University operates on a quarter system. Classes in Autumn, Winter, and Spring quarters are 11 weeks in length (including finals week) and Summer courses, in two sessions, are typically 5 weeks in length. The College of Law operates on the semester system. Classes in the Fall and Spring semesters are 16 weeks in length (including finals week) and it offers a Summer Session of 7 weeks (including final exams).

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