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Full Time Artificial Intelligence Machine Learning Jobs in Illinois

University of Utah

Post Doc Res Assoc

Campus, IL

$70K - $82K/yr

No Standard Hours per Week 40.00 Full Time or Part Time? Full Time Shift Day Work Schedule Summary ... artificial intelligence and machine learning to energy systems. The position will involve ...

DRW

AI Engineer

Chicago, IL · On-site

$175K - $300K/yr

You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and ...

Deloitte

Oracle Gen AI Manager

Chicago, IL · On-site

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Deloitte

Oracle Gen AI Manager

Chicago, IL · On-site

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Deloitte

Cyber Manager - AI SOC

Chicago, IL · On-site

$114K - $154K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are ...

RedMane Technology

Project Manager

Chicago, IL · On-site

The Role RedMane has a full-time opportunity for an experienced Project Manager as we continue to ... artificial intelligence, and machine learning. As a project manager, you will work in a ...

Epsilon

AI Engineer - Enterprise Business Systems

Chicago, IL · On-site

$110K - $137K/yr

MS degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field (or equivalent practical experience). Click here to view how Epsilon transforms marketing ...

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All JobsArtificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning JobsFull Time Artificial Intelligence Machine Learning Jobs in Illinois

Full Time Artificial Intelligence Machine Learning information

What is a full time artificial intelligence machine learning?

A Full Time Artificial Intelligence Machine Learning job typically involves working as a specialist or engineer who develops, implements, and maintains AI and machine learning models. This role may include tasks such as data preprocessing, building predictive algorithms, optimizing model performance, and collaborating with cross-functional teams to solve real-world problems using AI. Professionals in this field usually work with large datasets, programming languages like Python, and frameworks such as TensorFlow or PyTorch. Full-time positions generally require a background in computer science, mathematics, or a related field, and often involve ongoing learning to keep up with rapidly evolving technologies.

What are some common challenges faced by professionals in full time artificial intelligence machine learning roles, and how can they be addressed?

Professionals in full-time AI and Machine Learning roles often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and keeping up with rapid technological advancements. Additionally, collaborating with cross-functional teams to translate business needs into technical solutions can be demanding. To address these challenges, it is crucial to stay updated with the latest research, leverage robust data preprocessing techniques, and maintain open communication with stakeholders. Regularly participating in team meetings and knowledge-sharing sessions also helps in overcoming obstacles and fostering innovation.

What are the key skills and qualifications needed to thrive as a full time artificial intelligence machine learning professional, and why are they important?

To thrive as a Full Time Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially Python), and a relevant degree such as computer science or data science. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and innovate within diverse teams. These competencies are essential for developing robust AI solutions and staying current in a rapidly evolving field.

What is the difference between Full Time Artificial Intelligence Machine Learning vs Data Scientist?

AspectFull Time Artificial Intelligence Machine LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in ML/AIDegree in Statistics, Computer Science, or related fields; certifications in data analysis
Work EnvironmentTech companies, research labs, startups; focus on developing AI/ML modelsBusiness environments, consulting firms; focus on data analysis and insights
Employer & Industry UsagePrimarily in tech, finance, healthcare, and research sectorsAcross industries like marketing, finance, healthcare, and e-commerce

While both roles involve working with data, Full Time Artificial Intelligence Machine Learning specialists focus on developing and deploying AI/ML models, whereas Data Scientists analyze data to generate insights. The roles often overlap but differ in their primary objectives and skill sets.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Illinois?

The most popular types of Artificial Intelligence Machine Learning jobs in Illinois are:

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

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

Full Time Artificial Intelligence Machine Learning jobs near you

Post Doc Res Assoc

University of Utah

Campus, IL

$70K - $82K/yr

Full-time

Retirement

Re-posted 23 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

386th of 622 rated colleges and universities

Job description

Details
Open Date 08/19/2026 Requisition Number PRN45957B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40.00 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
Monday - Friday, 8-5pm
VP Area President Department 00059 - Energy & Geoscience Institute Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $70,000 - $82,000 Close Date 11/19/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Postdoctoral Research Associate will conduct applied and fundamental research in energy systems engineering, with an emphasis on industrial energy systems, energy management, techno-economic analysis, modeling, simulation, optimization, and advanced control. The position will play a key role in a major collaborative research effort focused on improving the energy and economic performance of advanced manufacturing operations. Primary responsibilities will include developing and implementing a comprehensive industrial energy management program; characterizing and benchmarking facility energy and resource use; developing models, performance metrics, and strategies for continuous energy improvement; and conducting comprehensive techno-economic analyses of manufacturing processes, equipment, facilities, and scale-up pathways.
The successful candidate will also contribute broadly to the research activities of the Energy Systems Research Group. Depending on the candidate's background and research interests, projects may include industrial decarbonization and smart manufacturing; hydrogen production and utilization; energy storage; renewable, nuclear, and hybrid energy systems; buildings and district energy systems; grid-interactive energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems.
The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and economic performance, and translating research results into practical engineering recommendations. The Postdoctoral Research Associate will be expected to lead and contribute to peer-reviewed publications and technical reports, present research findings, assist with research proposals and project deliverables, collaborate with university and industry partners, and help identify and develop new research directions.
Additional responsibilities include mentoring and supervising graduate and undergraduate researchers, coordinating student research activities, supporting the development of research software and experimental or computational capabilities, and contributing to the overall intellectual and technical leadership of the research group. The position is intended for an individual who can work independently while collaborating effectively across multidisciplinary academic and industrial research teams.
Responsibilities
  • Lead the development and implementation of energy management strategies for industrial and advanced manufacturing facilities, including energy and resource benchmarking, performance monitoring, identification of energy-efficiency opportunities, and development of long-term energy management plans.

  • Conduct comprehensive techno-economic analyses of manufacturing processes and facilities, including equipment and process evaluation, capital and operating cost analysis, return-on-investment analysis, sensitivity and uncertainty analysis, process optimization, and evaluation of manufacturing scale-up pathways.

  • Develop and apply computational models, simulations, optimization methods, and data-analysis tools to evaluate the performance of industrial processes and complex energy systems.

  • Conduct research in areas such as industrial energy systems and decarbonization, hydrogen and electrochemical systems, renewable and nuclear energy systems, energy storage, buildings and district energy systems, smart-grid applications, process systems engineering, advanced control, and artificial intelligence/machine learning for energy applications.

  • Analyze experimental, operational, and simulation data; develop performance metrics; identify opportunities for system improvement; and translate research findings into actionable engineering recommendations.

  • Prepare peer-reviewed journal publications, conference papers and presentations, technical reports, project deliverables, and other research communications.

  • Mentor and supervise graduate and undergraduate students, including providing technical guidance on research methods, modeling and simulation, data analysis, technical writing, and presentation of research results.

  • Collaborate with faculty, students, industry partners, national laboratories, government agencies, and other university researchers on multidisciplinary research projects.

  • Contribute to the development of research proposals, project plans, scopes of work, and new research initiatives, including identifying opportunities for externally funded research.

  • Assist with project management and coordination, including tracking research milestones and deliverables, documenting methods and results, communicating technical progress, and coordinating activities among project participants.

  • Develop and maintain research software, computational tools, models, datasets, and other research infrastructure needed to support ongoing and future projects.

  • Perform other research, mentoring, technical, and scholarly activities that support the mission and research portfolio of the research group.

Minimum Qualifications
Department Specific Qualifications:
  • Ph.D. in Mechanical Engineering, Chemical Engineering, Systems Engineering, Industrial Engineering, or a closely related engineering or technical discipline.

Preferences
The ideal candidate will have a strong interest in pursuing a future tenure-track academic career. This position is particularly well suited for an individual who wants to develop the research, publication, mentoring, proposal-development, and leadership experience needed to become a successful independent faculty member. The faculty supervisor is committed to actively mentoring a postdoctoral researcher with these career aspirations and to providing opportunities for increasing research independence, student mentorship, scholarly publication, proposal development, and development of an independent research portfolio.
Preferred qualifications and experience include:
  • Research experience in energy systems, industrial energy, advanced energy technologies, or related areas.
  • Experience with process and energy system modeling and simulation.
  • Experience conducting techno-economic analysis (TEA), including cost modeling, economic evaluation, sensitivity analysis, and/or assessment of emerging technologies and manufacturing processes.
  • Experience with life cycle assessment (LCA) is highly desirable.
  • Experience with mathematical optimization, including optimization of energy, process, or manufacturing systems, is a plus.
  • Experience with dynamic modeling and simulation, process control, or model-based analysis is a plus.
  • Experience with industrial automation, manufacturing systems, data acquisition, or related technologies is a plus.
  • Strong quantitative, computational, and analytical skills and the ability to learn and apply new modeling and analysis methods.
  • Demonstrated ability or strong potential to publish high-quality peer-reviewed research and communicate technical results effectively.
  • Interest in mentoring and supervising graduate and undergraduate researchers and working collaboratively within multidisciplinary research teams.
  • Ability to work independently, take intellectual ownership of research activities, and contribute to the development of new research ideas, publications, and proposals.
Type Benefited Staff Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

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