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Machine Learning Engineer Apprenticeship Jobs in Schaumburg, IL

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Preferred Qualifications PhD in Mathematics, Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience with deep learning frameworks like TensorFlow or ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Machine Learning Engineer

Chicago, IL · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

About the Role As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves ...

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed's construction robots smarter, faster, and more autonomous. You will develop ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

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Showing results 1-20

Machine Learning Engineer Apprenticeship information

See Schaumburg, IL salary details

$29.9K

$67.4K

$113.4K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Aug 24, 2026, the average yearly pay for machine learning engineer apprenticeship in Schaumburg, IL is $67,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $73,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Schaumburg, IL?

For Machine Learning Engineer Apprenticeship jobs in Schaumburg, IL, the most frequently searched job titles are:

What cities near Schaumburg, IL are hiring for Machine Learning Engineer Apprenticeship jobs?

Cities near Schaumburg, IL with the most Machine Learning Engineer Apprenticeship job openings:

Infographic showing various Machine Learning Engineer Apprenticeship job openings in Schaumburg, IL as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $67,379 per year, or $32.4 per hour.

Remote Machine Learning Engineer

Spotter Labs Inc

Lemont, IL • On-site

$90 - $150/hr

Other

Posted 18 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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