ZipRecruiter

Log In

1

Apprentice Machine Learning Testing Jobs in Kansas City, MO

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Develop robust tools for testing, validation, versioning, monitoring, model governance and ... Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.

NovationIQ

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

Develop robust tools for testing, validation, versioning, monitoring, model governance and ... Experience working in a Data Science, Machine Learning, Applied Statistics or similar role. Proven ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

... and machine learning models to address business challenges. * Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis. * Experience with AI/ML model testing ...

Pwc

US Tech - AI Engineering Manager

Kansas City, MO · On-site

$73K - $244K/yr

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 ...

Varsity Tutors

IBEW Tutor

Kansas City, MO · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of IBEW apprenticeship aptitude test content covering reading comprehension ...

Varsity Tutors

IBEW Tutor

Overland Park, KS · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of IBEW apprenticeship aptitude test content covering reading comprehension ...

previous pagenext page

Showing results 21-40

All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Kansas City, MO

Apprentice Machine Learning Testing information

See Kansas City, MO salary details

$10

$18

$27

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

As of Aug 22, 2026, the average hourly pay for apprentice machine learning testing in Kansas City, MO is $18.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.62 per hour, depending on experience, location, and employer.

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 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 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 Kansas City, MO?

For Apprentice Machine Learning Testing jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Apprentice Machine Learning Testing jobs in Kansas City, MO look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in Kansas City, MO are:

Apprentice Machine Learning Testing jobs near you

Data Scientist

Sporting Kansas City

Kansas City, KS • On-site

Full-time

Posted 8 days ago

Job description

Job Description Summary
We are seeking a creative and curious individual to join our team as a Data Scientist. In this role, the successful candidate will lead the design, development and validation of advanced models aimed at improving decision-making and supporting an evidence-informed predictive framework.
The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models across medical, sports sciences, scouting, squad planning and performance analysis, contributing to the development of proprietary models that provide Sporting Kansas City with a sustainable competitive advantage.
Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply.
Job Description
People
  • Work closely with coaches, analysts, scouts and other key stakeholders to identify football questions and translate them into advanced modelling projects.
  • Develop strong relationships with the wider Data and Analytics team, ensuring alignment with Club and department strategy.
  • Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows.
  • Collaborate closely with the First Team Data Analyst, ensuring the model outputs are translated and communicated into clear and actionable insights.
  • Ensure collaboration and communication across the wider Club as needed, championing the adoption of advanced analytics across Sporting Kansas City.

Process
  • Lead the end-to-end development of applied advanced modelling projects, from problem definition with key stakeholders, through to deployment and review cycles.
  • Develop robust tools for testing, validation, versioning, monitoring, model governance and documentation, focusing on creating and establishing best practices for experimentation.
  • Continuously evaluate model performance, incorporating stakeholder feedback to ensure reliability and flexibility as the Club changes and evolves.
  • Evaluate other emerging methods and research to ensure SKC stays current with data science best practice and trends.

Product
  • Develop advanced models to support medical, sports sciences, scouting, coaching and performance analysis workflows.
  • Support the development of advanced football metrics including player, team, league and valuation models, combining and utilizing multiple data sources.
  • Develop advanced metrics, working extensively with event, tracking and physical data.
  • Support the creation of predictive models related to load monitoring and management, player availability, injury risk and other key projects in collaboration with the medical and physical performance staff.
  • In close alignment with the wider Data and Analytics teams, support the development of forecasting and scenario-analysis tools, supporting squad and salary cap planning.
  • Continuously challenge existing data, systems and practices to ensure development and drive innovation.
  • Work closely with the First Team Data Engineer to productionize models and implement ML projects seamlessly.

Education & Experience
  • Bachelor's degree in computer science, data science or related STEM subject.
  • Experience working in a Data Science, Machine Learning, Applied Statistics or similar role.
  • Proven experience designing, validating and monitoring applied machine learning models.
  • Robust experience using both SQL and Python for data analysis, modelling and automation.
  • Strong understanding of statistical modelling, experimental design and model evaluation.
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and keen to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Preferred Experience
  • Prior experience working within an elite soccer club or high-performance sporting environment.
  • Experience working with soccer event, tracking and physical performance datasets.
  • Previous experience developing models for elite athlete recruitment, physical performance, squad planning, player availability and load and fatigue management.
  • Experience deploying machine learning models and working with cloud-based environments.
  • Strong understanding of technical and tactical aspects of soccer.
  • Evidence of experience working in the MLS.
  • Experience using data visualization tools such as Tableau or other equivalent software.

Physical Requirements
  • Ability to work in office, stadium, and outdoor environments with the ability to travel as required.
  • Ability to occasionally lift up to 25 pounds.
  • Ability to work non-traditional hours including evenings, weekends, and holidays.

Additional Responsibilities
  • Represent Sporting Kansas City professionally at all times.
  • Maintain confidentiality of sensitive information.
  • Comply with Club policies and procedures.
  • Perform other duties as assigned.

Apply