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Apprentice Machine Learning Testing Jobs in Houston, TX

Modeling Scientist

Houston, TX · On-site

$100K - $160K/yr

Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ... Apply sensitivity analysis, multivariate testing, and cross-validation to evaluate model robustness ...

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Working at the intersection of statistics, machine learning, and process-based ecosystem modeling ... Apply sensitivity analysis, multivariate testing, and cross-validation to evaluate model robustness ...

Develop, test, and deploy machine learning models to support decision making and optimize business processes * Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure ...

Develop, test, and deploy machine learning models to support decision making and optimize business processes * Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure ...

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Apprentice Machine Learning Testing information

See Houston, TX salary details

$10

$18

$26

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

As of Jul 9, 2026, the average hourly pay for apprentice machine learning testing in Houston, TX is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.19 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 the most commonly searched types of Machine Learning Testing jobs in Houston, TX? The most popular types of Machine Learning Testing jobs in Houston, TX are:
What are popular job titles related to Apprentice Machine Learning Testing jobs in Houston, TX? For Apprentice Machine Learning Testing jobs in Houston, TX, the most frequently searched job titles are:
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What cities near Houston, TX are hiring for Apprentice Machine Learning Testing jobs? Cities near Houston, TX with the most Apprentice Machine Learning Testing job openings:
Learning Management Systems Supervisor (Location Flexible)

Learning Management Systems Supervisor (Location Flexible)

RSM

Houston, TX • On-site, Remote

Full-time

Posted 23 days ago


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.

The Learning Systems Supervisor supports enterprise learning, compliance, and enablement needs. This role defines the functional vision for the learning ecosystem, manages the LMS vendor landscape and contracts, and ensures the platform strategy aligns with learning strategy and organizational priorities. The Learning Systems Supervisor translates business and learning needs into scalable platform capabilities while maintaining operational stability and governance.

Responsibilities:

  • Establish governance for learning technology capabilities, integrations, and platform usage
  • Ensure scalable processes exist for vendor onboarding, tool evaluation, and platform enhancements, security, and governance specific to the learning management systems.
  • Maintain visibility into LMS vendor roadmaps and ensure the organization leverages platform capabilities effectively
  • Maintain a clear intake and prioritization process for learning technology requests
  • Provide strategic guidance on platform usage, design standards, and best practices
  • Serve as a solution architect & subject matter expert for the learning ecosystem - balancing user experience, technical feasibility, and compliance requirements.
  • Partners with Talent Tech, Data & Analytics, and vendors to design integrations, reporting, and workflow automation that connect learning to the broader Talent data model.
  • Drive readiness and adoption activities related to system upgrades, re-implementations, and new technology rollouts.
  • Ensure all systems and processes align with firm policies, data privacy standards, and regulatory requirements.
  • Define and prioritize platform capabilities that support learning, compliance, and workforce enablement
  • Ensure alignment between learning strategy, platform capabilities, and enterprise technology standards
  • Drive continuous improvement of the learning ecosystem through feature enhancements and platform optimization
  • Partner with Learning Centers of Excellence (COEs) to support content strategy, learning design, and enablement
  • Translate learning, compliance, and operational needs into platform functionality and system requirements
  • Identify opportunities to streamline learning operations through platform capabilities and automation
  • Support integration of external learning content providers and learning technology tools
  • Act as the connector between Learning & Development, Learning Operations, and to ensure alignment of strategy and execution.
  • Lead communication and change management efforts for system transitions, ensuring clarity, transparency, and adoption across all business lines.
  • Develop materials and deliver briefings for Talent and business leadership on learning technology strategy, progress, and outcomes.

Requirements:

  • Bachelor's degree required
  • Deep understanding of enterprise learning management systems (LMS) such as Cornerstone OnDemand, Workday Learning, Saba, or Docebo
  • Familiarity with tools like Degreed, EdCast, or LinkedIn Learning Hub and how they integrate with LMS platforms
  • Knowledge of SCORM/xAPI standards, content authoring tools (e.g., Articulate, Captivate), and media hosting platforms
  • AI-Driven Solutions - Understanding of AI and machine learning applications in learning (recommendation engines, chatbots, adaptive learning)
  • Experience defining requirements, evaluating vendors, and managing end-to-end selection and implementation processes.
  • Understanding of data governance, user access control, audit readiness, and regulatory requirements
  • Familiarity with structured change control processes, testing protocols, and communication planning during releases or upgrades.
  • Demonstrated success partnering to lead LMS RFPs, implementations, or re-implementations (Cornerstone, Workday Learning, or similar).
  • Experience with automation tools, AI applications, or digital enablement initiatives in learning or HR preferred.


Preferred:

  • Master's degree or relevant certification preferred.
  • 6+ years of experience in Learning & Development, Learning Systems Management, or HR Technology; experience in professional services strongly preferred.
  • Understanding of how learning systems connect with HRIS (Workday, PeopleSoft, etc.), identity management, and data systems via APIs or middleware.

Team Aligned Flexiblity - The baseline expectation that employees and owners may perform work from home, an office, a client site, or other relevant business locations, withinperson attendancerequiredwhen business needs, collaboration, client service, development, or travelwarrantit. Working from homefrequentlyor primarily does not change this expectation. For this position, the location is open to any of our US based markets.

At RSM, we offer a competitive benefits and compensation package for all our people.We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients.Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.

At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $95,400 - $163,900

Individualsselected for this role will be eligible for a discretionary bonus based on firm and individual performance.