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Apprentice Machine Learning Testing Jobs in Lehi, UT

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next ... Conduct testing and validation to ensure reliability. * Co-author technical reports on data ...

... of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing • Demonstrated competency in R/Python predictive modeling • Demonstrated competency in RDBMS (e.g.

Responsible for assisting or completing assembly, installation, maintenance and testing of ... Learning and using excellent working knowledge of the Building Codes. * Learning and using strong ...

Responsible for assisting or completing assembly, installation, maintenance and testing of ... Learning and using excellent working knowledge of the Building Codes. * Learning and using strong ...

Responsible for assisting or completing assembly, installation, maintenance and testing of ... Learning and using excellent working knowledge of the Building Codes. * Learning and using strong ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Demonstrated competency in R ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Demonstrated competency in R ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Demonstrated competency in R ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

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Apprentice Machine Learning Testing information

See Lehi, UT salary details

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How much do apprentice machine learning testing jobs pay per hour?

As of May 30, 2026, the average hourly pay for apprentice machine learning testing in Lehi, UT is $18.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $19.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Lehi, UT? For Apprentice Machine Learning Testing jobs in Lehi, UT, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Lehi, UT look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Lehi, UT are:
Machine Learning Engineer

Machine Learning Engineer

Tagup

Salt Lake City, UT

$125K - $165K/yr

Full-time

Posted 11 days ago


Job description

Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.


We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations.

This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance.

If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.
What You’ll Do
  • Develop, train, and optimize ML models for large-scale applications.
  • Build pipelines for data ingestion and model deployment.
  • Work with engineers and subject-matter experts to refine solutions.
  • Conduct testing and validation to ensure reliability.
  • Co-author technical reports on data analysis and model performance.
  • Continuously improve ML infrastructure and workflows.
  • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.
What We’re Looking For
  • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow.
  • Proven ability to deploy ML models into production and work with large, complex datasets.
  • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines.
  • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.
  • Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.
Salary

The estimated salary range for this position is between $125,000 and $165,000 annually. We strive to provide a competitive salary and benefits package that aligns with our employees’ experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions.

As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. Additionally, we offer comprehensive health insurance benefits, access to the company’s 401K plan, and foster a team-oriented work environment with regular company outings!

Why Join Us?

This is your opportunity to move beyond academic experiments and build AI models that make a real difference in defense and industry. At Tagup, you’ll work with a world-class, agile team in a supportive environment that encourages rapid iteration and continuous learning.

Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.

Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.