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Apprentice Machine Learning Testing Jobs in Utah

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

... data for machine learning pipelines, feature engineering, and model lifecycle management ... testing, and secure deployment - Ensures solutions comply with DoD cybersecurity, RMF, data ...

... testing. * Experience working with structured and semi-structured healthcare data, including medical coding systems. * Experience designing and deploying data or machine learning systems in a cloud ...

... machine learning models including: hold-out sets, cross-validation, leave-one-out testing • Understanding of orders of algorithms and how they scale • Demonstrated competency in R/Python ...

Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission ...

Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission ...

... B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. * Knowledge of a variety of traditional machine learning ...

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

... B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. * Knowledge of a variety of traditional machine learning ...

Senior Data Scientist

Salt Lake City, UT · On-site

$110.50K - $149.50K/yr

... B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. * Knowledge of a variety of traditional machine learning ...

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

... B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. * Knowledge of a variety of traditional machine learning ...

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Collaborating closely with cross-functional teams, you will develop and optimize machine learning ... Lead the end-to-end development, testing, and deployment of AI and ML models * Architect and ...

Collaborating closely with cross-functional teams, you will develop and optimize machine learning ... Lead the end-to-end development, testing, and deployment of AI and ML models * Architect and ...

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Apprentice Machine Learning Testing information

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 Utah? For Apprentice Machine Learning Testing jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Apprentice Machine Learning Testing jobs? Cities in Utah with the most Apprentice Machine Learning Testing job openings:
AI/ML Software Developer

AI/ML Software Developer

Maximus

Salt Lake City, UT • Remote

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

Description & Requirements

Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.

This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret security clearance.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6

Job-Specific Essential Duties and Responsibilities:

- Designs, develops, trains, evaluates, and integrates AI/ML models and algorithms supporting Government operational systems

- Prepares and structures data for machine learning pipelines, feature engineering, and model lifecycle management

- Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts

- Integrates AI/ML capabilities into software applications and system architectures using APIs and microservices

- Supports DevSecOps activities including CI/CD pipelines, automated testing, and secure deployment

- Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies

- Supports system accreditation, documentation, testing, and evaluation activities

- Collaborates with Government and contractor teams across development, integration, and readiness environments

- Participates in Agile program increment (PI) planning and activities requiring periodic travels

Job-Specific Minimum Requirements:

- Active Secret security clearance required

- Bachelor’s degree in related field required
- A Master’s degree may substitute for 2 years of experience
- 5 years of experience in the functional area

- 3 years of demonstrated experience designing, developing, training, and evaluating machine learning models using industry-standard frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

- 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++).

- 3 years demonstrated experience of machine learning concepts, including supervised and unsupervised learning, model evaluation techniques, and feature engineering.

- Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.

- 3 years of experience testing web-based applications.

- 3 years of experience participating in software development programs or projects.

- Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.

- 5 years of experience with Jenkins and GitLab.

- Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

Preferred Skills and Qualifications:

- Experience using Agile Test-Driven Development

- Experience integrating into DoD DevSecOps environments

- 5 years of experience with CI/CD software development

- Experience supporting RMF accreditation and security assessment activities

- Experience with model monitoring, explainability, and Responsible AI practices

- Experience integrating AI/ML services into operational dashboards or decision support platforms

#techjobs #clearance #veteranspage # USCYBERCOM

Minimum Requirements

TCS195, T3, Band 6

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

Minimum Salary

$

110,000.00

Maximum Salary

$

145,000.00


What Maximus employees say

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