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Google Cloud Machine Learning Engineer Jobs in Orem, UT

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services * Experience ... Python Programming * SQL Proficiency * Machine Learning ATS Optimization Keywords Hard Skills

Crew Career Center

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

... AI, machine learning, or advanced analytics initiatives Competencies Overview * Cloud Data ... Google Cloud Platform (GCP) * BigQuery * dbt / dbt Cloud * Fivetran * Python * SQL * GitHub * Cloud ...

Patientco

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

... AI, machine learning, or advanced analytics initiatives Competencies Overview * Cloud Data ... Google Cloud Platform (GCP) * BigQuery * dbt / dbt Cloud * Fivetran * Python * SQL * GitHub * Cloud ...

Stackruit Ltd.

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... machine learning (Python). * Experience building production-ready systems with cloud platforms (AWS)

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... and machine learning initiatives across the credit union. Working closely with business ... cloud data infrastructure on Snowflake or Azure, including compute, storage, and networking ...

Jobtailor

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

... machine learning models * Work closely with data engineers and product managers to turn data ... Cloud-based Data Solutions #J-18808-Ljbffr

Weave

Staff SIP Engineer

Lehi, UT · On-site

$120 - $180/hr

Flexibility and adaptability in learning new technologies and tools * Strong written, oral, and ... Experience operating production services in a major cloud environment (Google Cloud preferred ...

Weave

Staff SIP Engineer

Lehi, UT · On-site

Flexibility and adaptability in learning new technologies and tools * Strong written, oral, and ... Experience operating production services in a major cloud environment (Google Cloud preferred ...

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Staff SIP Engineer

Lehi, UT · On-site

$120 - $170/hr

Flexibility and adaptability in learning new technologies and tools * Strong written, oral, and ... Experience operating production services in a major cloud environment (Google Cloud preferred ...

Crew Career Center

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data ... Lead the design, development, and implementation of sophisticated machine learning models and ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data ... Lead the design, development, and implementation of sophisticated machine learning models and ...

Patientco

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data ... Lead the design, development, and implementation of sophisticated machine learning models and ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Orem, UT

Google Cloud Machine Learning Engineer information

See Orem, UT salary details

$20

$54

$75

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

As of Aug 30, 2026, the average hourly pay for google cloud machine learning engineer in Orem, UT is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $62.26 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 popular job titles related to Google Cloud Machine Learning Engineer jobs in Orem, UT?

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

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

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

Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Orem, UT 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 $113,716 per year, or $54.7 per hour.

Data Scientist

Jobtailor

Lehi, UT • On-site

$90 - $130/hr

Other

Posted 14 days ago

Job description

  • Analyze structured and unstructured datasets to identify trends and answer business questions
  • Develop, test, and refine statistical and analytical models
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
  • Evaluate new data sources and analytical methods
  • Document analytical approaches and communicate findings
  • Support deployment and ongoing improvement of data science solutions
Requirements
  • 2–4 years’ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
  • Working knowledge of Python and SQL
  • Understanding of statistical methods, model evaluation, and analytical problem-solving
  • Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
  • Familiarity with database concepts, data warehousing, or data-processing workflows
  • Strong written and verbal communication skills
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
  • Experience with pandas, NumPy, scikit-learn, or similar analytical tools
  • Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
  • Experience applying AI or machine learning to practical business, product, or customer use cases
  • Exposure to R or other data science and statistical tools
  • Experience with Power BI, Tableau, or MicroStrategy
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows
Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.

Highest-signal resume keywords
  • Data Analysis
  • Statistical Modeling
  • Python Programming
  • SQL Proficiency
  • Machine Learning
ATS Optimization Keywords Hard Skills
  • Data Science
  • Statistical Methods
  • Model Evaluation
  • Data Cleaning
  • Data Transformation
  • Pattern Identification
  • Hypothesis Testing
  • Analytical Problem-Solving
  • Data Visualization
  • Cloud-Based AI Services
Soft Skills
  • Strong Communication Skills
Industry Keywords
  • Data Warehousing
  • Data Processing Workflows
  • Distributed Data Processing
  • Business Use Cases
  • Analytics Capabilities
Tools & Technologies
  • Pandas
  • NumPy
  • Scikit-Learn
  • Power BI
  • Tableau
  • MicroStrategy
  • AI Tools
  • Machine Learning Frameworks
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