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Temporary Machine Learning Scientist Jobs in Northbrook, IL

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

We develop machine learning models and infrastructure to support internal team strategies and collaborate closely with our data science organization to drive efficiency and best practices. Your ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

We develop machine learning models and infrastructure to support internal team strategies and collaborate closely with our data science organization to drive efficiency and best practices. Your ...

IMC

Machine Learning Researcher

Chicago, IL

Design and deploy machine learning models to enhance trading performance across various asset ... PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field ...

TEKsystems

Machine Learning Engineer

Chicago, IL · Remote

$95 - $105/hr

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 ...

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All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Northbrook, IL

Temporary Machine Learning Scientist information

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

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
What are popular job titles related to Temporary Machine Learning Scientist jobs in Northbrook, IL? For Temporary Machine Learning Scientist jobs in Northbrook, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Scientist jobs in Northbrook, IL look for? The top searched job categories for Temporary Machine Learning Scientist jobs in Northbrook, IL are:
What cities near Northbrook, IL are hiring for Temporary Machine Learning Scientist jobs? Cities near Northbrook, IL with the most Temporary Machine Learning Scientist job openings:
Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in Northbrook, IL as of August 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

Full-time

Re-posted 24 days ago

Shirley Ryan AbilityLab rating

7.1

Company rating: 7.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

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 Summary
The Machine Learning Ops Engineer II works under general supervision and plays an active role in the design, development, and/or operationalization of machine learning models. This position involves responsibility in planning and managing artificial intelligence (AI) and machine learning (ML) lifecycle processes and contributing to the efficiency and effectiveness of deployed models.
The Machine Learning Ops Engineer II 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 II 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 Description
The Machine Learning Engineer II will:
  • Actively participates in deploying, monitoring, and scaling machine learning models in production and big data research.
  • Evaluate data sets to determine suitability for applying machine learning models and techniques.
  • Guide and assist with the collection and curation of clinical datasets.
  • Assist in the implementation and evaluation of machine learning algorithms.
  • Develop and maintain continuous integration and continuous deployment pipelines for automated training and deployment of machine learning models.
  • Manage machine learning infrastructure and optimizes resource utilization.
  • Implement monitoring solutions for model performance and health.
  • Lead small projects or initiatives related to machine learning operations.
  • Work collaboratively with data scientists to optimize model performance.
  • Advocate for best practices in machine learning operations within the team.
  • 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 designed engineering manager.

Knowledge, Skills & Abilities Required
  • A professional level of knowledge in computer science, engineering or a related field, typically acquired through a Bachelor's Degree.
  • Minimum of 3 years of related experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • Continues to develop professional expertise, applying institute policies and procedures to resolve a variety of issues.
  • Proficient in using version control systems, especially Git.
  • Able to manage branches, handle merge conflicts, and understand the importance of commit history and reverting changes.
  • Strong skills in Python and experience with machine learning frameworks.
  • Working proficiency with Linux and Windows operating systems.
  • Familiarity with tools for deploying machine learning pipelines (eg Docker, Kubenates).
  • Familiarity with cloud based production pipelines offered by leading manufacturers (eg Microsoft Azure, Amazon Web Services, Google Cloud, etc).
  • Ability to work independently on assigned tasks and lead small projects. Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Good communication skills in both written and verbal forms. Able to work with research subjects and clinicians in a clinical setting.
  • Able to take direction and complete defined tasks in addition to anticipating and executing follow-up actions.
  • Able to perform assignments by receiving general instructions on routine work, and detailed instructions on new projects or assignments.
  • Able to exercise judgment within defined procedures and practices to determine appropriate action.
  • Able to build stable working relationships with multidisciplinary team.

Working Conditions
  • Normal 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:
$72,600.00 - $120,600.00
Benefits:
Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefits
*Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.
Equal Employment Opportunity Employer
Shirley 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 Policy
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.

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