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Google Cloud Machine Learning Engineer Jobs in Pleasant Prairie, WI

Grainger Businesses

Data Engineer III

Lake Forest, IL · On-site

$104K - $174K/yr

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with ... Develop junior team members through modern cloud-based development. * Translate requirements into ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with ... Develop junior team members through modern cloud-based development. * Translate requirements into ...

ClifyX

Chief AI Architect

Mundelein, IL · On-site

AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs, RAG, agent frameworks) Cloud AI ecosystems (preferably Google Cloud / Vertex AI) Strong track record ...

ECHOorporated

Software Engineer Manager

Lake Zurich, IL · Hybrid

$165K - $180K/yr

Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering ... Experience with cloud platforms such as Azure, AWS, or Google Cloud (Preferably Azure). * Proven ...

ECHO

Software Engineer Manager

Lake Zurich, IL · On-site +1

$165K - $180K/yr

Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering ... Experience with cloud platforms such as Azure, AWS, or Google Cloud (Preferably Azure). * Proven ...

Echo Inc

Software Engineer Manager

Lake Zurich, IL · On-site

$165 - $180/hr

Foster a culture of accountability, innovation, collaboration, continuous learning, and engineering ... Experience with cloud platforms such as Azure, AWS, or Google Cloud (Preferably Azure). * Proven ...

AbbVie

Principal AI Engineer II

North Chicago, IL · On-site

... Machine Learning, Data Science, Engineering, or a related technical discipline. * Demonstrated ... Strong software and cloud engineering practices, including secure design, automated testing, CI/CD ...

AbbVie

Principal AI Engineer II

North Chicago, IL

... Machine Learning, Data Science, Engineering, or a related technical discipline. * Demonstrated ... Strong software and cloud engineering practices, including secure design, automated testing, CI/CD ...

AbbVie

Principal AI Engineer II

North Chicago, IL · On-site

$141K/yr

... Machine Learning, Data Science, Engineering, or a related technical discipline. * Demonstrated ... Strong software and cloud engineering practices, including secure design, automated testing, CI/CD ...

Acceler8 Talent

Research Engineer

Mundelein, IL · On-site

$300K/yr

Founding Research Engineer - AI & Defence 📍 San Francisco | Onsite I'm working with a highly ... and applied machine learning. You'll work with petabyte-scale, multimodal time-series data ...

ACCsurance

Senior Data Analyst

Mundelein, IL · On-site

$87K - $110K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering ... SQL, BigQuery, Google Cloud Platform, Metabase, Python, DBT, Terraform, Snowflake

Steris Corporation

Senior Software Engineer

Vernon Hills, IL · On-site

$119K - $157K/yr

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. * Exposure to AI-assisted development tools and modern engineering productivity practices. Other: * Excellent problem ...

Mondo

IT Architect V

Racine, WI · Remote

$65 - $80/hr

Design and deploy AI and data services on Azure, supporting advanced analytics, machine learning ... Minimum Requirements: * 10 years of experience in cloud architecture, engineering, or operations ...

STERIS Corporation

Senior Software Engineer

Vernon Hills, IL · Hybrid

$119K - $157K/yr

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. * Exposure to AI-assisted development tools and modern engineering productivity practices. Other: * Excellent problem ...

AbbVie

Senior Engineer, AI

North Chicago, IL · On-site

$100K - $138K/yr

The role includes executing traditional machine learning solutions, as well as developing and ... Conceive, design, engineer, and implement ML and AI solutions by studying information needs ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Pleasant Prairie, WI

Google Cloud Machine Learning Engineer information

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$60

$84

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

As of Sep 3, 2026, the average hourly pay for google cloud machine learning engineer in Pleasant Prairie, WI is $60.95, according to ZipRecruiter salary data. Most workers in this role earn between $51.97 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 cities near Pleasant Prairie, WI are hiring for Google Cloud Machine Learning Engineer jobs?

Cities near Pleasant Prairie, WI 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 Pleasant Prairie, WI 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 $126,769 per year, or $60.9 per hour.

Data Engineer III

Grainger Businesses

Lake Forest, IL • On-site

$104K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Grainger rating

8.2

Company rating: 8.2 out of 10

Based on 182 frontline employees who took The Breakroom Quiz

36th of 366 rated logistics

Job description

Work Location Type: Hybrid
Req Number 332569
About Grainger
W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working® by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit www.grainger.com.
Compensation
The anticipated base pay compensation range for this position is $104,500.00 - $174,200.00. This role is eligible for an incentive target of up to 10 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.
Rewards and Benefits
With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger's benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
Grainger Benefits
The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.
The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.
Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.
Position Details
Grainger is seeking a Data Engineer III to join our Machine Learning Engineering (MLE) team supporting Supply Chain and Inventory Analytics. This role reports to a Senior Manager of Machine Learning Engineering and partners closely with Inventory Reporting & Analysis (R&A). The objective of this role is to deliver high-quality, trusted, and scalable data pipelines that power advanced analytics, optimization, and machine learning. This role will own the data foundation behind ML and analytics use cases, enabling faster decision-making, improving data reliability, and unlocking scalable insights across the business. This position is Hybrid requiring 2 days per week onsite at the Chicago or Lake Forest, IL offices.
You Will
  • Pioneer a new way of thinking about Data Pipelines, Orchestration and Configuration at Grainger.
  • Develop our next-generation micro-services to enhance and mature a data-driven culture
  • Help develop the Analytics and Data Kubernetes products in AWS
  • Experience building data products for Data Science use cases
  • Assemble complex sets of data that meet requirements
  • Identify and design internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Build required tools for extraction, transformation and loading of data from data sources
  • Build product features to allow self-service analytics
  • Work with partners including data, design, product and executive teams and assisting them with data-related technical issues

You Have
  • Bachelor's Degree or equivalent experience required.
  • 3+ years hands-on experience with Modern Data Engineering projects and practices (Airflow, Kafka, Spark, and python) required.
  • Successful track record in developing and automating large-scale, high-performance data engineering systems (batch and streaming).
  • Experience with both scripting and system programming languages (Python and Scala).
  • Experience with microservices including defining and testing APIs
  • Experience architecting, developing, and deploying both offline and online feature stores.
  • Experience leading data integration efforts of data sources.
  • Experience partnering with internal departments (Supply Chain, Marketing, Finance, and HR) to establish requirements.
  • Develop junior team members through modern cloud-based development.
  • Translate requirements into technical requirements and produce required source-to-target data mappings.
  • Bring complex concepts into our organization and mentor others.
  • Experience with advanced analytics and machine learning.
  • Technology Experience Required: AWS, SQL, Python, Docker/Kubernetes, CI/CD, Git, Snowflake, dbt, Airflow.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.

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About Grainger

Sourced by ZipRecruiter

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money. We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Industry

Office administration and facilities support services

Company size

10,000+ Employees

Headquarters location

Lake Forest, IL, US

Year founded

1927

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