1

Contract Machine Learning Software Engineer Jobs in Chicago, IL

Sr. Software Engineer I, Data & ML Platform

Chicago, IL · On-site

$126K - $166K/yr

Zoro is seeking a Senior Software Engineer I to join our Data and Machine Learning Platform team. In this role, you will contribute to the design and development of scalable tools and systems that ...

AI Engineer - Enterprise Business Systems

Chicago, IL

$110K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong foundation in machine learning, software engineering, statistics, and data structures. * Proficiency in Python and experience applying production-grade software engineering practices.

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of ...

Showing results 41-60

Contract Machine Learning Software Engineer information

See Chicago, IL salary details

$65.4K

$152K

$211.7K

How much do contract machine learning software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contract machine learning software engineer in Chicago, IL is $151,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 per year, depending on experience, location, and employer.

What is a contract machine learning software engineer?

A Contract Machine Learning Software Engineer is a professional who is hired on a temporary or project basis to design, develop, and deploy machine learning models and systems. They often work with organizations that need specialized expertise for a limited duration, helping to build algorithms, analyze data, and integrate AI solutions into existing software products. Contract engineers typically have strong backgrounds in programming, mathematics, and data science, and they may work remotely or on-site. Their responsibilities can range from data preprocessing and model training to deploying models in production environments. This arrangement allows companies to access advanced machine learning skills without committing to a full-time hire.

What are the key skills and qualifications needed to thrive as a contract machine learning software engineer?

To thrive as a Contract Machine Learning Software Engineer, you need a strong background in computer science, proficiency in programming languages like Python, and expertise in machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, along with knowledge of version control systems like Git, is essential. Strong problem-solving abilities, communication skills, and the ability to work independently or with cross-functional teams make someone stand out in this role. These skills ensure efficient delivery of scalable machine learning solutions that meet client requirements and project timelines.

How does a contract machine learning software engineer typically collaborate with full-time team members during a project?

As a Contract Machine Learning Software Engineer, you will often work closely with full-time data scientists, software engineers, and product managers. Collaboration usually happens through regular stand-up meetings, code reviews, and shared documentation platforms. Despite being a contractor, you’re expected to integrate seamlessly with the team, communicate progress transparently, and adapt to the company’s workflows. Building strong relationships and proactively seeking feedback can help ensure your contributions align with the project’s goals and timelines.

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

AspectContract Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master’s in CS, ML, or related fields; experience with ML frameworksBachelor's or Master’s in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often remote, focused on developing ML models and softwareData analysis, visualization, and interpretation, often in research or business settings
Employer & Industry UsageTech companies, startups, consulting firms; used for deploying ML solutionsResearch institutions, finance, healthcare, and tech; used for insights and decision-making

The main difference is that Contract Machine Learning Software Engineers focus on developing and deploying ML models as software solutions, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but their primary objectives and work environments differ.

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

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

What cities near Chicago, IL are hiring for Contract Machine Learning Software Engineer jobs?

Cities near Chicago, IL with the most Contract Machine Learning Software Engineer job openings:

Engineer I, Machine Learning Ops CBM Lab

Sralab

Chicago, IL • On-site

$60K - $99K/yr

Full-time

Posted 25 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 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 Description

The 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 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:

$60,000.00 - $99,700.00

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.