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Machine Learning Project Manager Jobs in Illinois

The role involves designing and deploying machine learning models, collaborating with trading teams, and managing data for enhanced trading performance. Responsibilities : • Design and deploy ...

Design and deploy machine learning models to enhance trading performance across various asset ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

Partner with cloud and platform teams to manage compute resources, cost controls, and environment configurations. * Work with application engineering teams to integrate machine learning outputs into ...

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset ... Manage data acquisition, preprocessing, and feature engineering for structured and unstructured ...

Project Manager

Chicago, IL · Remote

$40K - $45K/yr

Description Saturn Machine Works is seeking an Entry-Level Project Manager to join our team in the Electrical/Electronic Manufacturing industry. As a Project Manager, you will work full-time in a ...

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Machine Learning Project Manager information

See Illinois salary details

$43.1K

$93.6K

$149.7K

How much do machine learning project manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning project manager in Illinois is $93,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $109,500.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning Project Managers will continue to be essential as they oversee AI development, coordinate teams, and ensure project goals are met. Roles requiring complex problem-solving, creativity, and human judgment—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs benefit from interpersonal skills, critical thinking, and adaptability that AI cannot easily replicate.

Will AI replace PMP?

AI is unlikely to fully replace Project Management Professionals (PMP) as the role requires leadership, strategic thinking, and stakeholder communication that AI cannot replicate. Instead, AI tools can support PMPs by automating routine tasks, data analysis, and scheduling, allowing them to focus on complex decision-making and team management. Certification and experience remain essential for effective project management in an AI-enhanced environment.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large organizations or tech companies. These positions usually require advanced skills in AI, machine learning, and leadership, along with significant experience and sometimes specialized certifications. Compensation at this level reflects the complexity and strategic importance of AI initiatives within the company.

What is the difference between Machine Learning Project Manager vs Data Scientist?

AspectMachine Learning Project ManagerData Scientist
Required CredentialsBachelor's or Master's in Business, Computer Science, or related; PMP or Agile certificationsDegree in Computer Science, Statistics, or related; often a Master's or PhD
Work EnvironmentProject teams, cross-functional collaboration, client interactionsResearch, data analysis, model development in labs or offices
Industry UsageTech companies, finance, healthcare, where managing ML projects is keyData-driven roles across industries, focusing on model building and analysis

The main difference is that a Machine Learning Project Manager oversees ML projects, coordinating teams and ensuring timely delivery, while a Data Scientist focuses on developing models and analyzing data. Both roles require technical knowledge, but their core responsibilities differ significantly.

What is the salary of AI ML project manager?

The salary of a Machine Learning Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and benefits.
What cities in Illinois are hiring for Machine Learning Project Manager jobs? Cities in Illinois with the most Machine Learning Project Manager job openings:

Machine Learning Engineer

Reyes Coca-Cola Bottling

Niles, IL • On-site

$103K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Reyes Coca-Cola Bottling rating

8.1

Company rating: 8.1 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

65th of 383 rated food and drinks producers


Job description

Position Responsibilities:
  • Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models
  • Deploy and manage ML models in production environments using containerization and orchestration technologies
  • Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift
  • Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state
  • Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments
  • Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes
  • Travel up to 5% of the time
  • Other duties as assigned

Required Education and Experience:
  • Bachelor's degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience

Preferred Education and Experience:
  • Master's Degree in computer science, Data Science, or other graduate education in related quantitative fields
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.

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