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Machine Learning Engineer Biotech Jobs in Chicago, IL

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Senior AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Sr Machine Learning Engineer

Chicago, IL ยท On-site

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques, including but ...

Sr AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

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Showing results 1-20

Machine Learning Engineer Biotech information

See Chicago, IL salary details

$32.5K

$132.7K

$199.3K

How much do machine learning engineer biotech jobs pay per year?

As of Jul 4, 2026, the average yearly pay for machine learning engineer biotech in Chicago, IL is $132,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $159,700.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Chicago, IL? The most popular types of Machine Learning Engineer Biotech jobs in Chicago, IL are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Chicago, IL look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Engineer Biotech jobs? Cities near Chicago, IL with the most Machine Learning Engineer Biotech job openings:
Infographic showing various Machine Learning Engineer Biotech job openings in Chicago, IL as of June 2026, with employment types broken down into 64% Full Time, and 36% Contract. Highlights an 100% In-person job distribution, with an average salary of $132,651 per year, or $63.8 per hour.

Engineer II, Machine Learning Ops CBM Lab

Sralab

Chicago, IL โ€ข On-site

Full-time

Posted 14 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 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.

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Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.