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Machine Learning Contract Jobs in Chicago, IL (NOW HIRING)

Maximus

AI/ML Software Developer

Gary, IN · On-site

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Aurora, IL · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Hammond, IN · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Chicago, IL · On-site

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Hammond, IN · On-site

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Aurora, IL · On-site

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Chicago, IL · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Gary, IN · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Whiztek Corp

Lead AI Engineer

Schaumburg, IL · On-site

$101K - $133K/yr

... Contract Job Summary: We are seeking a highly motivated and adaptable AI Engineer to join our ... A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.

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Machine Learning Contract information

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$31

How much do machine learning contract jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for machine learning contract 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.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in the Machine Learning Contract position, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Chicago, IL? The most popular types of Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Machine Learning Contract jobs in Chicago, IL? For Machine Learning Contract jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Chicago, IL look for? The top searched job categories for Machine Learning Contract jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Machine Learning Contract jobs? Cities near Chicago, IL with the most Machine Learning Contract job openings:
Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Chicago, IL as of June 2026, with employment types broken down into 13% Internship, 54% Full Time, 13% Part Time, and 20% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $48,899 per year, or $23.5 per hour.
Product Manager, Data Analytics

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site

$106K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Equity Residential rating

7.5

Company rating: 7.5 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

70th of 210 rated facilities management

Job description


Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Equity Residential's analytics and machine-learning enabled products. This role sits at the intersection of data science, software engineering, and business strategy. Translating analytical insights into scalable systems and partnering with technical teams to operationalize machine learning models into production-grade applications. The ideal candidate brings a blend of product management discipline, technical fluency in machine learning and data pipelines, and strong program management skills. This role collaborates closely with the Senior Software Engineer, data scientists, and business partners to build intuitive, reliable products that drive measurable impact on pricing, forecasting, and operational decision-making.
PLEASE NOTE: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.
WHAT YOU'LL DO:
  • Collaborates with business, analytics, and engineering teams to define the vision, strategy, and long-term roadmap for data and machine learning products.
  • Translates complex pricing, forecasting, and operational needs into clear product requirements, user stories, and acceptance criteria.
  • Leads prioritization across competing business and technical needs, managing backlogs and release plans.
  • Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise.
  • Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints.
  • Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
  • Partners with the Senior Software Engineer Data & Analytics Products to operationalize models into user-facing applications and enterprise systems.
  • Ensures all ML-driven product features emphasize explain ability, compliance, and reliability.
  • Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system reliability) to measure product performance and business impact.
  • Establishes a structured cadence for reviewing KPIs with cross-functional partners and initiating corrective actions or enhancements.
  • Drives successful delivery of milestones across pilots, MVP releases, and product iterations.
  • Leads retrospectives and drives continuous improvement of analytics workflows, model governance, and product execution processes.
  • Acts as the bridge between data scientists, software engineers, IT, Pricing, and Operations teams.
  • Facilitates workshops, demos, feedback sessions, and cross-functional updates to maintain alignment and transparency.
  • Communicates complex analytical concepts in a clear, business-relevant manner for stakeholders at all levels.
  • Supports change management, training, and adoption for new analytics capabilities across the organization.

REQUIREMENTS:
  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred.
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs-with hands-on experience partnering with data scientists and engineers.
  • Demonstrated ability to integrate machine learning driven features into end-to-end production systems and evaluate model performance.
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau, etc.).
  • Proven experience with Agile methodologies, backlog management, sprint execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review cadences, and leading data-driven decision processes.
  • Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate, hospitality, travel, etc.).
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders.

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to an employee in this position. This job description does not constitute a written or implied contract of employment.
SALARY:
$106,228-$132,785per year; in addition to base salary, a discretionary 16.0% annual bonus is provided.
The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.
WE CARE ABOUT YOUR TOTAL WELLBEING:
  • Physical Wellbeing: Medical, dental, and vision care
  • Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
  • Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
  • Community Wellbeing: Paid Community Service Hours
  • Career Wellbeing: Leadership Development
  • Learn more about our Total Wellbeing program here.

RELOCATION:
Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.
PHYSICAL AND VISUAL ACTIVITIES:
Ability to effectively hear, speak, and communicate in person and over the phone, including the clear exchange of information through spoken and written communication. Ability to interpret, evaluate, and accurately convey detailed verbal and written instructions. Visual acuity sufficient to use a computer effectively and read written materials. Ability to lift, push, pull, or carry up to 15 pounds to distribute documents, supplies, and materials throughout the office or facility. May be required to climb stairs depending on property layout. Occasional travel may be required.
The above describes the physical and visual activities that are commonly associated with the performance of the essential functions of this job. Commonly associated is not intended to mean always or only. Reasonable accommodation will be provided as required by law to enable otherwise qualified employees with a known disability to perform the essential functions of the job.
WORKING ENVIRONMENT:
Our work environment is casual, collaborative, and people-first. Team members are encouraged to bring their authentic selves to work, share ideas openly, and communicate comfortably across all levels of the organization. While we value professionalism and accountability, we also believe a relaxed atmosphere fosters creativity, productivity, and strong working relationships. Employees enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.
Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.
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