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Temporary Machine Learning Testing Jobs in Chicago, IL

TEKsystems is seeking a Machine Learning Engineer to support one of our major customers that sits ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

New

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ...

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing ...

Temp Machine Operator (Ink Preparation Department) Location: Rockdale, IL (Apollo Colors) Shift ... Monitor product quality by visual inspection of the product and taking required samples and testing ...

Temp Machine Operator (Ink Preparation Department) Location: Rockdale, IL (Apollo Colors) Shift ... Monitor product quality by visual inspection of the product and taking required samples and testing ...

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Temporary Machine Learning Testing information

See Chicago, IL salary details

$14

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How much do temporary machine learning testing jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for temporary machine learning testing in Chicago, IL is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $26.25 per hour, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle some tasks, MLEs are essential for creating and fine-tuning complex models. AI is a tool that complements their work rather than replacing the role entirely, and skills in programming, data analysis, and model deployment remain important for MLEs.

What is the difference between Temporary Machine Learning Testing vs Data Scientist?

AspectTemporary Machine Learning TestingData Scientist
CredentialsTypically requires knowledge of machine learning tools, programming, and basic statisticsRequires advanced degrees (e.g., Master’s or PhD) in data science, statistics, or related fields
Work EnvironmentProject-based, often temporary roles focused on testing models and algorithmsLong-term, strategic roles involving data analysis, model development, and business insights
Industry UsageCommon in tech, finance, and research sectors for specific testing tasksWidely used across industries for data-driven decision making

Temporary Machine Learning Testing roles focus on evaluating and validating machine learning models in short-term projects, while Data Scientists develop, implement, and interpret complex data models for ongoing business strategies. Both roles require technical skills, but Data Scientists typically have higher educational credentials and broader responsibilities.

Can I learn ML in 3 months?

Learning machine learning in three months is possible for some individuals, especially with prior programming experience and dedicated study. Focused coursework, practical projects, and familiarity with tools like Python and libraries such as scikit-learn can accelerate learning, but mastering complex concepts may require longer. For a role like temporary machine learning testing, foundational knowledge and hands-on experience are key, and ongoing learning is often necessary.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leading projects, developing innovative algorithms, and may require extensive experience and specialized certifications. Compensation at this level reflects the complexity and impact of the work in the AI industry.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Testing role, jobs that require complex human judgment, creativity, and emotional intelligence are more likely to survive AI automation. These include roles such as AI ethics specialists, creative designers, and strategic consultants. Skills in critical thinking, problem-solving, and domain expertise will remain valuable as AI tools continue to evolve.
What are the most commonly searched types of Machine Learning Testing jobs in Chicago, IL? The most popular types of Machine Learning Testing jobs in Chicago, IL are:
What job categories do people searching Temporary Machine Learning Testing jobs in Chicago, IL look for? The top searched job categories for Temporary Machine Learning Testing jobs in Chicago, IL are:
Infographic showing various Temporary Machine Learning Testing job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,899 per year, or $23.5 per hour.

Machine Learning Engineer

TEKsystems

Chicago, IL • Remote

$95 - $105/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

TEKsystems is seeking a Machine Learning Engineer to support one of our major customers that sits in Chicago. THIS IS 100% REMOTE and LONG TERM.

Top 3–5 Skills

- Strong engineering foundation.

- Ability to understand the problem.

- Ability to approach problems systematically.

- Ability to learn new technologies on the job.

- Some experience with ML technologies, particularly from an engineering perspective.

- Will be using existing models to create software services, not writing research papers.

- Cloud engineering experience is required.

- Thinks systematically.

Top Skills Details

sagemaker,AWS,Python,SQL

Experience building ML systems such as:

- ML pipelines

- Real-time inference services

- Working with and maintaining feature stores

- Strong foundation in AWS cloud infrastructure.

- Top priority is a solid engineering .

- Seems to value candidates with a strong college and the ability to clearly describe their experience and technical foundation.

Job Type & Location

This is a Contract position based out of Chicago, IL.

Pay and Benefits

The pay range for this position is $95.00 - $105.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Aug 6, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.