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Freelance Google Machine Learning Engineer Jobs in Orem, UT

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. * Proficiency with ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

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 ...

New

Stackruit Ltd.

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

  • Medical

  • PTO

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Python Programming * SQL Proficiency * Machine Learning ATS Optimization Keywords Hard Skills * Data Science * Statistical Methods * Model Evaluation * Data Cleaning * Data Transformation * Pattern ...

New

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working ...

Enterprise Technology Operations

AI Solutions Architect

Midvale, UT · Hybrid

$59.50 - $78.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI and Machine Learning, inspiring teams across the organization to adopt them. * Serve as a technical advisor and mentor for engineering teams, empowering them with the best practices and ...

New

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI and Machine Learning, inspiring teams across the organization to adopt them. * Serve as a technical advisor and mentor for engineering teams, empowering them with the best practices and ...

New

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$150 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI and Machine Learning, inspiring teams across the organization to adopt them. * Serve as a technical advisor and mentor for engineering teams, empowering them with the best practices and ...

New

Utah Community Credit Union

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working ...

Zions Bank

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI and Machine Learning, inspiring teams across the organization to adopt them. * Serve as a technical advisor and mentor for engineering teams, empowering them with the best practices and ...

New

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Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsFreelance Google Machine Learning Engineer JobsFreelance Google Machine Learning Engineer Jobs in Orem, UT

Freelance Google Machine Learning Engineer information

See Orem, UT salary details

$12

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

As of Aug 16, 2026, the average hourly pay for freelance google machine learning engineer in Orem, UT is $41.48, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $53.70 per hour, depending on experience, location, and employer.

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

To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.

What does a freelance Google Machine Learning Engineer do?

A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.

What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?

Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.

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

AspectFreelance Google Machine Learning EngineerFreelance Data Scientist
CredentialsKnowledge of Google Cloud ML tools, programming skills in Python, TensorFlowStatistical expertise, programming in Python/R, data analysis skills
Work EnvironmentCloud platforms, AI/ML projects, collaboration with developersData analysis, reporting, model development, client communication
Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, marketing, research organizations

While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.

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

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Freelance Google Machine Learning Engineer jobs near you

Machine Learning Platform Engineer - Backend Services (Utah)

Waystar

Lehi, UT • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Waystar is a leading company in healthcare payment solutions, seeking a Machine Learning Platform Engineer - Backend Services to enhance their platform for predictive models and data analysis. The role involves developing and maintaining machine learning frameworks, collaborating with data science teams, and ensuring the reliability of production systems.
Responsibilities:
• Develop and enhance the machine learning platform to manage the full model life cycle
• Build frameworks and tools to enable the data science team developing and enhancing predictive models, support scalable real-time predictions in production
• Design and implement data engineering solutions for model training
• Expand NLP capabilities with advanced analysis techniques to improve text understanding
• Design and implement high-performance, scalable services and applications
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
• Understand and adhere to development standards for consistency across teams
• Perform in-depth technical and performance analyses to troubleshoot production issues
• Monitor and maintain production systems for reliability and efficiency
Qualifications:
Required:
• Bachelor’s degree in Computer Science or related area, Masters preferred
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms
• Expert proficiency with SQL
• NLP
• Seasoned practitioner of engineering best practices such as CI/CD and automated testing
• Comfort working in a Linux environment
• Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
• Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures
• Experience with public cloud solutions, such as AWS or GCP
• Proven track record of successful delivery of progressively complex technical projects
• Coaching and mentoring junior engineers in the team
• Team player DNA with a positive, self-starter attitude
• Attention to detail, highly organized, with an absolute focus on quality of work
Preferred:
• Familiarity with ClearML, Triton, PyTorch, and TensorFlow
• Familiarity with statistics and healthcare domain
• Proven expertise in successful large project/build management and execution
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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