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Google Cloud Machine Learning Engineer Jobs in Chicago, IL

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Bespoke Labs

Machine Learning Engineer

Chicago, IL

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Aurora, IL · On-site

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Gary, IN · On-site

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Hammond, IN · On-site

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Hammond, IN

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Bespoke Labs

Machine Learning Engineer

Gary, IN

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

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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

$24

$64

$89

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.

Delivery Executive, Google Cloud

Google

Chicago, IL • On-site

Full-time

Re-posted 10 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Addison, TX, USA; Austin, TX, USA; Atlanta, GA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in program management, client services or management consulting.
  • Experience delivering enterprise digital transformation projects to customers. (e.g., cloud migrations or multi-cloud transformations across data warehousing and analytics, application development, or cybersecurity solutions).
  • Ability to travel up to 50% of the time as required.

Preferred qualifications:
  • Experience leading cloud-based transformation programs and software development solutions.
  • Experience working with new and emerging technologies, methodologies, and solutions in the cloud and broader enterprise technology transformation space.
  • Experience collaborating with channel partners, systems integrators, and third-party developers to deliver solutions.
  • Experience with programs pertaining to data and analytics systems and implementations.

About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
In this role, you will engage with customers and partners to deliver, design, build, and advise customers on transitioning to Google Cloud. You will specialize in the program management, governance, and orchestration of cloud transformations. This will involve supporting customers and internal teams from initial engagement through the delivery and execution of Google Cloud and customer business transformation programs.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $164000 - $239000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Articulate and enable the path to digital transformation, technology adoption, and cloud transformation for pursuits including workload prioritization, organizational and cultural readiness, capability adoption, and goal clarification.
  • Hold accountability to customers at the board and executive-level to ensure the program realizes financial benefits, business objectives, and transformational outcomes.
  • Define the overall governance model and services delivery plan for the account and establish a cadence to manage the ongoing delivery of the plan.
  • Lead the delivery of multi-functional, large-scale Google Cloud transformation projects, as well as manage a partner ecosystem (e.g., product and services).
  • Manage the presales scoping life-cycle, customer requirements, and regularly track them to meet the expected outcomes and timelines, stakeholder communication, relationship management, and building mitigation plans as the program evolves.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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