2

Entry Level Machine Learning Jobs in Chicago, IL

next page

Showing results 1-20

Entry Level Machine Learning information

See Chicago, IL salary details

$12

$17

$22

How much do entry level machine learning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level machine learning in Chicago, IL is $17.99, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.57 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Chicago, IL?

The most popular types of Machine Learning jobs in Chicago, IL are:

What are popular job titles related to Entry Level Machine Learning jobs in Chicago, IL?

For Entry Level Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Entry Level Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Entry Level Machine Learning jobs?

Cities near Chicago, IL with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $37,422 per year, or $18 per hour.

Engineer I, Machine Learning Ops CBM Lab

Shirley-Ryan-Ability-La

Chicago, IL • On-site

$60 - $100/hr

Other

Posted 4 days ago


Job description

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you’ll be part of our life-changing mission and vision. You’ll contribute to an innovative, multifaceted culture that is second to none — one that embraces collaboration, excellence, discovery and compassion. You’ll play a role in something that’s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes — as we Advance Human Ability, together.Job Description SummaryThe Machine Learning Ops Engineer I, under direct supervision, will assist in the development, deployment, and management of machine learning models, toolboxes and systems. This role involves collaborating with data scientists and software engineers to facilitate the implementation of artificial intelligence (AI) and machine learning (ML) solutions in production environments.The Machine Learning Ops Engineer I will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.The Machine Learning Ops Engineer I will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.Job DescriptionThe Machine Learning Ops will:Participate in a team to deploy and monitor machine learning models, ensuring their stability and reliability.Review, organize and curate data as directed. Implements and tests machine learning algorithms as directed.Assist in the development and maintenance of continuous integration and delivery pipelines for machine learning systems.Contribute to the automation of model training and deployment processes.Assist with the management of machine learning infrastructure and resources.Support the team in implementing best practices for machine learning operations.Help in troubleshooting and resolving issues in deployed machine learning models.Participate in maintaining a safe and secure computing environment in compliance with organizational policies and procedures.Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety.Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.Reporting Relationships:Reports directly to a designated engineering manager.Knowledge, Skills & Abilities Required:A foundational level of knowledge in computer science, engineering, data science, or related field, generally acquired through the completion of a Bachelor’s Degree.Basic understanding of machine learning concepts and workflows.Familiarity with version control systems, preferably Git, is required.Basic understanding of Git commands and workflows (e.g., commit, push, pull, merge, branch) is expected.Familiarity with programming languages like Python and tools like TensorFlow or PyTorch.Ability to work under supervision on assigned tasks.Good communication skills and the ability to work well in a collaborative environment.Entry level position with no previous professional experience.Learns to use professional concepts while working on projects of limited scope.Normally receives detailed instructions on all work.Able to take direction and complete defined tasks in support of engineering team.Able to apply institute policies and procedures to resolve routine issues.Able to follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained.Able to build stable working relationships with multidisciplinary team.Working ConditionsNormal office environment with little or no exposure to dust or extreme temperature.The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.Pay and Benefits*:Pay Range:$60,000.00 - $99,700.00Benefits:Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefitsBenefits and benefits’ eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.Equal Employment Opportunity EmployerShirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.EEO is the Law | EEO is the Law - Know Your Rights | View our Full PolicyShirley Ryan AbilityLab is an Affirmative Action Employer as required by law. #J-18808-Ljbffr