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Google Cloud Machine Learning Engineer Jobs in Chicago, IL

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Description: Paylocity is an award-winning provider of cloud-based HR and payroll software ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Accenture

Google Cloud (AGBG) Sales Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Accenture Google Business Group (AGBG) focuses on Cloud solutions leveraging Google's Cloud ... To accelerate our customers transformation leveraging cloud, we combine world-class learning and ...

Whiztek Corp

Google Cloud Platform Engineer

Schaumburg, IL · On-site

$55 - $73.50/hr

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google's managed platform for building, deploying, governing, and scaling ...

New

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Qfanalytics

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 ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Accenture

Google Cloud (AGBG) Sales Architect

Chicago, IL · On-site

$67 - $85.25/hr

To accelerate our customers transformation leveraging cloud, we combine world-class learning and ... Build a clear career pathway toward senior engineering, architecture, or leadership roles within a ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Chicago, IL

Google Cloud Machine Learning Engineer information

See Chicago, IL salary details

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How much do google cloud machine learning engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for google cloud machine learning engineer in Chicago, IL is $64.78, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $73.80 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in Chicago, IL?

The most popular types of Google Cloud Machine Learning Engineer jobs in Chicago, IL are:

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Chicago, IL?

For Google Cloud Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Google Cloud Machine Learning Engineer jobs in Chicago, IL look for?

The top searched job categories for Google Cloud Machine Learning Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Google Cloud Machine Learning Engineer jobs?

Cities near Chicago, IL with the most Google Cloud Machine Learning Engineer job openings:

Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,745 per year, or $64.8 per hour.

Remote Machine Learning Engineer

Spotter Labs Inc

Lemont, IL • On-site

$90 - $150/hr

Other

Posted 29 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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