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Google Cloud Machine Learning Engineer Jobs in Illinois

Google

Delivery Executive, Google Cloud

Chicago, IL · On-site

Experience collaborating with channel partners, systems integrators, and third-party developers to ... About the job The Google Cloud Consulting Professional Services team guides customers through the ...

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... Implement 3D point cloud processing for construction material recognition * Design and train models ...

Google

Delivery Executive, Google Cloud

Chicago, IL · On-site

Experience collaborating with channel partners, systems integrators, and third-party developers to ... About the job The Google Cloud Consulting Professional Services team guides customers through the ...

The Hartford

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 ... Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and ...

Google Inc.

Delivery Executive, Google Cloud

Chicago, IL · On-site

$164 - $240/hr

Experience collaborating with channel partners, systems integrators, and third-party developers to ... About the job The Google Cloud Consulting Professional Services team guides customers through the ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

New

Google

AI Infra Practice Architect, Google Cloud

Chicago, IL · On-site

$65.50 - $89.50/hr

Bachelor's degree in Engineering or equivalent practical experience. * 10 years of experience with ... Google Cloud accelerates every organization's ability to digitally transform its business and ...

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

New

ZipRecruiter

Staff Machine Learning Engineer

Chicago, IL · Remote

$205K - $265K/yr

We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation ...

New

Attain

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

About the role Attain is seeking a Senior Machine Learning Engineer to own our production ML ... Strong SQL skills and experience with cloud data warehouses and operational databases (e.g ...

New

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and ...

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

S. Role Overview We are seeking a talented and experienced GCP AI/ML Engineer to design, build, and operationalize scalable machine learning solutions on Google Cloud Platform (GCP). This role ...

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Google Cloud Machine Learning Engineer information

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$22

$60

$84

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

As of Sep 6, 2026, the average hourly pay for google cloud machine learning engineer in Illinois is $60.94, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $69.42 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 Illinois?

The most popular types of Google Cloud Machine Learning Engineer jobs in Illinois are:

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Illinois?

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

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

The top searched job categories for Google Cloud Machine Learning Engineer jobs in Illinois are:

What cities in Illinois are hiring for Google Cloud Machine Learning Engineer jobs?

Cities in Illinois 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 Illinois 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 $126,751 per year, or $60.9 per hour.

Machine Learning Engineer/SRE-Remote

Georgia IT, Inc.

Chicago, IL • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Georgia IT, Inc. is seeking a highly skilled and motivated Machine Learning Engineer who possesses expertise in developing, deploying, and managing machine learning models. In this role, you will be responsible for managing Azure infrastructure for AI model development and deployment, monitoring model performance, and responding to outages related to model operations.
Responsibilities:
• Manage Azure Infrastructure: Configure, maintain, and optimize Azure infrastructure for AI model development and deployment, ensuring scalability and performance.
• Model Performance Monitoring: Implement and maintain monitoring systems to track model performance, proactively identifying and addressing issues as they arise.
• Incident Response: Collaborate with the SRE team to respond promptly to outages and incidents related to model operations, ensuring minimal downtime and rapid issue resolution.
Qualifications:
Required:
• Proficiency in managing Azure infrastructure components, including virtual machines, storage, and networking, to support AI model development and deployment.
• Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines, including the automation of model deployment processes.
• Strong knowledge of containerization technologies in the cloud, such as Docker and Kubernetes, for efficient deployment and scaling of machine learning models.
• Proficient in building and optimizing machine learning models, with a deep understanding of various Client algorithms and frameworks.
• Proficiency in programming languages commonly used in machine learning, such as Python and libraries like TensorFlow and PyTorch.
• Experience in data preprocessing, feature engineering, and data pipeline development for machine learning.
• Excellent communication skills and the ability to work collaboratively with cross-functional teams, including AI engineers and SREs.
• Effective documentation skills to maintain clear and organized records of models, infrastructure configurations, and incident responses.
Preferred:
• Experience with cloud-based machine learning platforms (e.g., Azure Machine Learning).
• Experience with CI/ CD tools to deploying Client services and applications specific to Azure cloud platform.
• Familiarity with DevOps practices and tools for automating infrastructure and deployments.
• Knowledge of model versioning and model management tools.
• Understanding of security best practices in AI model deployment.
• Certifications in relevant areas, such as Azure certifications or machine learning certifications.
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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