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Contract Machine Learning Software Engineer Jobs in Wood Dale, IL

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Reliance, Inc.

AI Software Engineer 1

Chicago, IL · On-site

$80K - $100K/yr

The AI Software Engineer I is responsible for supporting the development, implementation, and ... Foundational knowledge of artificial intelligence, machine learning, automation, or data-related ...

Socket.dev

Machine Learning Engineer

Chicago, IL · On-site

$150 - $200/hr

The ideal candidate combines strong software and platform engineering fundamentals with practical ... a Machine Learning Engineer, ML Platform Engineer, MLOps Engineer, Applied Scientist or similar ...

Zoro

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 ...

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All JobsContract Machine Learning Software Engineer JobsContract Machine Learning Software Engineer Jobs in Wood Dale, IL

Contract Machine Learning Software Engineer information

See Wood Dale, IL salary details

$63.3K

$147K

$204.7K

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

As of Sep 7, 2026, the average yearly pay for contract machine learning software engineer in Wood Dale, IL is $146,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $172,400.00 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 popular job titles related to Contract Machine Learning Software Engineer jobs in Wood Dale, IL?

For Contract Machine Learning Software Engineer jobs in Wood Dale, IL, the most frequently searched job titles are:

What job categories do people searching Contract Machine Learning Software Engineer jobs in Wood Dale, IL look for?

The top searched job categories for Contract Machine Learning Software Engineer jobs in Wood Dale, IL are:

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

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

Contract Machine Learning Software Engineer jobs near you
Infographic showing various Contract Machine Learning Software Engineer job openings in Wood Dale, IL as of August 2026, with employment types broken down into 93% Full Time, and 7% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $146,978 per year, or $70.7 per hour.

Staff Machine Learning Engineer (Chicago)

Zocdoc

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

Mentorship Machine Learning Engineer Search Algorithms ML Models Data Platforms


We are seeking a Staff Machine Learning Engineer to join our Search team and enhance our core search product. You will build scalable products to improve the healthcare search experience for patients and providers. You will balance your contributions as an applied Machine Learning Engineer with mentorship responsibilities.


Responsibilities

  • Contribute to the end-to-end development of search algorithms and ML models.

  • Implement ML Ops and CI/CD best practices.

  • Collaborate with other teams to incorporate features within Search.

  • Ship efficient and scalable code to millions of users.

  • Partner with product and design teams to develop product improvements.

  • Mentor other engineers.

  • Work with GenAI tools and technology.


Requirements

  • Passion for building and productionizing large-scale consumer-facing ML models.

  • Solid understanding of machine learning techniques.

  • Understanding of consumer-facing experiment design.

  • Passion for technology and the ability to think critically about software performance, scalability, and reliability.

  • Experience building data platforms with the latest technologies.

  • Experience implementing software solutions using object-oriented or functional languages (e.g., Scala, Spark, Databricks, Python, React, C#, Node.js).

  • Experience designing, building, and shipping applications that scale.

  • 7+ years of professional development experience (Data teams experience is a plus).

  • Experience mentoring other engineers.

  • Computer Science or related degree (preferred).


Benefits

  • Flexible, hybrid work environment.

  • Unlimited Vacation.

  • 100% paid employee health benefit options.

  • Commuter Benefits.

  • 401(k) with employer-funded match.

  • Corporate wellness programs with Headspace and Peloton.

  • Sabbatical leave (for employees with 5+ years of service).

  • Competitive paid parental leave and fertility/family planning reimbursement.

  • Cell phone reimbursement.

  • Catered lunch every day along with beverages and snacks.

  • Employee Resource Groups and ZocClubs.

  • Great Place to Work Certified.


How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

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About ZocDoc

Sourced by ZipRecruiter

Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone , we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences, and contributors make our community and our platform better. We're an equal-opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

Industry

Internet websites and web search portals

Company size

501 - 1,000 Employees

Headquarters location

New York, NY, US

Year founded

2007

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