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Apprentice Machine Learning Testing Jobs in Orlando, FL

IBEW Tutor

Orlando, FL · 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 ...

... testing, documentation, and optimization to accelerate delivery cycles. * Architect solutions that integrate AI capabilities including natural language processing, machine learning models, predictive ...

... testing, documentation, and optimization to accelerate delivery cycles. * Architect solutions that integrate AI capabilities including natural language processing, machine learning models, predictive ...

Technical Project Manager

Orlando, FL · On-site

$75K - $90K/yr

... testing, documentation, and optimization to accelerate delivery cycles. * Architect solutions that integrate AI capabilities including natural language processing, machine learning models, predictive ...

... criteria, testing strategies, and quality thresholds for AI outputs • Translate product ... Required : • 4+ years of experience in software engineering, applied AI, or machine learning ...

Electrician

Mount Dora, FL · On-site

$22.25 - $30.50/hr

Apprentices gain hands-on experience while learning the electrical trade and developing the skills ... Use hand tools, power tools, and electrical testing equipment safely. * Maintain a clean and ...

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Apprentice Machine Learning Testing information

See Orlando, FL salary details

$10

$18

$26

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

As of Jul 14, 2026, the average hourly pay for apprentice machine learning testing in Orlando, FL is $18.07, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 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 Orlando, FL? For Apprentice Machine Learning Testing jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Orlando, FL look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Apprentice Machine Learning Testing jobs? Cities near Orlando, FL with the most Apprentice Machine Learning Testing job openings:
Data Engineer Consultant

Other

Re-posted 3 days ago


Job description

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions.

You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management.

-Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis.

-Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred