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Apprentice Machine Learning Testing Jobs in Columbus, OH

Hirekeyz Inc

API Testing Automation (SDET)

Columbus, OH · On-site

... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Experience with Spinnaker is preferable Experience with Lambda using Python is preferable Exposure to data modeling ...

Eliassen Group

Senior AI/ML Engineer

Columbus, OH · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... Support production deployments, smoke testing, monitoring, root cause analysis, and issue ...

Purple Drive

Lead AI-ML Engineer

Westerville, OH

$99K - $130K/yr

... and Machine Learning, hypothesis testing, regression analysis, and variance modeling. • Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches. • ...

Purple Drive Technologies

Lead AI-ML Engineer

Westerville, OH · On-site

$98K - $130K/yr

... and Machine Learning, hypothesis testing, regression analysis, and variance modeling. • Experience with anomaly detection techniques - supervised, unsupervised, and hybrid approaches. • ...

Varsity Tutors

Data Science Tutor

Columbus, OH · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deloitte

AI Data Engineer - Manager

Columbus, OH · On-site

$110K - $132K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... testing, and deployment methodology based on business and security requirements. Risk Management ...

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Apprentice Machine Learning Testing information

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$10

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$27

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

As of Jun 18, 2026, the average hourly pay for apprentice machine learning testing in Columbus, OH is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.43 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 Columbus, OH? For Apprentice Machine Learning Testing jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Columbus, OH look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Apprentice Machine Learning Testing jobs? Cities near Columbus, OH with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

API Testing Automation (SDET)

Hirekeyz Inc

Columbus, OH • On-site

Full-time

Posted 12 days ago

Job description

Role: API Testing Automation (SDET)
 
Location: Columbus, OH
 
Job Type: W-2/Full Time
 
 
Job Responsibilities:
 
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
 
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect
 
Required qualifications, capabilities, and skills
 
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on experience with Selenium, Cucumber, Playwright, Java, J2EE, REST APIs, Web Services, and building event-driven Microservices.
Experience with provisioning resources using tools such as Terraform.
Proficiency in containerization technologies and orchestration platforms, including Docker, Kubernetes, and ECS.
Interest in shift-left testing practices.
Experience with or willingness to learn CI/CD practices.
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
 
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
 
Preferred qualifications, capabilities, and skills
 
Experience with Spinnaker is preferable
Experience with Lambda using Python is preferable
Exposure to data modeling and database design, as well as observability and monitoring configuration using Splunk/CloudWatch.
Familiarity with modern front-end technologies