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Apprentice Machine Learning Testing Jobs in Lehi, UT

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... Ability to generate robust statistical analyses (e.g., power analysis, hypothesis testing ...

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Collaborate with product managers across the portfolio, data scientists, machine learning engineers ... Drive A/B testing, experimentation, and model validation strategies to evaluate performance of ML ...

New

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Drive A/B testing, experimentation, and model validation strategies to evaluate performance of ML ... Strong understanding of machine learning concepts, model lifecycles, and data pipelines

... control, testing, and continuous integration • Java • Spring • NodeJS • JavaScript ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

... control, testing, and continuous integration • Java • Spring • NodeJS • JavaScript ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... testing strategies - Architecting, building, and deploying conversational bots using Azure Bot ...

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Apprentice Machine Learning Testing information

See Lehi, UT salary details

$10

$18

$26

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

As of Jul 10, 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 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 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 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:
Engineering Division - Draper - Vice President, Systems Engineering - 389899

Engineering Division - Draper - Vice President, Systems Engineering - 389899

Goldman Sachs

Draper, UT

$168K - $216K/yr

Other

Posted 24 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

40th of 146 rated banks


Job description

Job Duties: Vice President, Systems Engineering with Goldman Sachs Services LLC in Draper, Utah. Apply expertise across engineering, including datacenter design, networks, storage, grid compute, operating systems, databases, communications, market data and software languages. Oversee the design and build out of the firm's computer and data infrastructure, including identification of internal hardware and implementation of public and private cloud-based solutions to provide seamless on-demand scaling of the firm's applications. Oversee the creation of automated testing processes, standards, solutions and tools to ensure smooth operation of the firm's businesses. Leverage data mining and machine learning expertise to identify and react to problems in the firm's infrastructure and platforms. Oversee the identification, analysis, and resolution of application issues by documenting repetitive error resolutions and minimizing operational errors. Track and manage application health and ensure application service performance. Manage risk and cost in the production environment and change management process. Improve application stability and performance by automating failures using machine learning techniques and analyzing discrepancies and trends. Manage production incidents and communicate with users, applications owners, vendors, and internal and external stakeholders. Develop sustainable systems and services through automation, performance tuning and database queries. Oversee business continuity planning and disaster recovery and plan appropriate contingency plans.

Job Requirements: Bachelor's degree (or U.S. equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field. Employer will accept bachelor's degree equivalent based on single degree, combination of degrees, or combination of degree(s) and professional work experience, where determined to be equivalent to U.S. bachelor's degree by a qualified credential evaluation service. Five (5) years of experience in the job offered or a related role. Prior employment must include five (5) years of experience with: performance tuning and troubleshooting application issues utilizing Oracle, code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Python; designing and supporting database systems utilizing technologies such as DB2 or Sybase ASE; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery; and performing systems management for Windows platforms such as Microsoft Configuration Manager or comparable enterprise systems management products.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.


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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869