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Manager Edge Ai Machine Learning Jobs in Chicago, IL

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... Excited to work on cutting-edge technology! Primary Responsibilities The below represents the ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

Showing results 21-40

Manager Edge Ai Machine Learning information

See Chicago, IL salary details

$31.9K

$79.7K

$133.9K

How much do manager edge ai machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager edge ai machine learning in Chicago, IL is $79,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $90,100.00 per year, depending on experience, location, and employer.

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

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

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

The most popular types of Edge Ai Machine Learning jobs in Chicago, IL are:

What job categories do people searching Manager Edge Ai Machine Learning jobs in Chicago, IL look for?

The top searched job categories for Manager Edge Ai Machine Learning jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Manager Edge Ai Machine Learning jobs?

Cities near Chicago, IL with the most Manager Edge Ai Machine Learning job openings:

Infographic showing various Manager Edge Ai Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $79,712 per year, or $38.3 per hour.

Remote Machine Learning Engineer

Spotter Labs Inc

Lemont, IL • On-site

$90 - $150/hr

Other

Re-posted 2 days ago


Job description

We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production.

This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications.

What you'll do
  • Develop, train, and evaluate machine learning models.

  • Prepare and analyze datasets for model training.

  • Improve model performance through experimentation and testing.

  • Deploy and maintain ML models in production environments.

  • Collaborate with software engineers to integrate ML solutions into products.

  • Monitor model performance and continuously improve accuracy.

  • Stay up to date with new machine learning techniques and technologies.

What we’re looking for
  • Basic understanding of machine learning concepts and algorithms.

  • Experience with Python.

  • Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.

  • Comfortable working with data and writing clean, maintainable code.

  • Familiarity with Git.

  • Good problem-solving skills.

  • Strong written and verbal English communication.

Nice to have
  • Experience with large language models (LLMs).

  • Experience with cloud platforms such as AWS, GCP, or Azure.

  • Familiarity with SQL.

  • Experience deploying ML models.

  • Personal projects or open-source contributions related to AI or machine learning.

Requirements
  • 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required.

  • Passion for learning and building AI solutions.

What we offer
  • Fully remote work.

  • Flexible working environment.

  • Opportunity to work on real AI products.

  • Challenging technical problems with room to grow.

  • Collaborative and fast-moving team.

  • Competitive compensation based on experience.

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