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Apprentice Machine Learning Testing Jobs in Columbus, OH

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

New

... 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 ...

Lead AI-ML Engineer

Westerville, OH · On-site

$98.80K - $130.10K/yr

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

AI Data Engineer Senior Consultant

Columbus, OH · On-site

$110.60K - $132.80K/yr

... machine learning training and real-time inference, including online and offline consistency ... testing, deployment, and incident response practices for production artificial intelligence and ...

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 ...

AI Data Engineer - Manager

Columbus, OH

$110.60K - $132.80K/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 ...

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning ... Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and ...

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Apprentice Machine Learning Testing information

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

As of May 30, 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 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 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:

Sr Lead Software Engineer - Java & Databricks

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As a Senior Lead Software Engineer, you will lead the design and implementation of Java applications, mentor team members, and develop AI-driven systems to enhance user experience and automate processes.
Responsibilities:
• Lead the design and implementation of robust, scalable Java applications, leveraging advanced features and frameworks to optimize performance and maintainability.
• Mentor team members in best practices for Java coding, testing, and debugging, ensuring high-quality code and adherence to industry standards.
• Develop intelligent agent-based systems that autonomously perform complex tasks, leveraging machine learning and advanced AI techniques.
• Collaborate with cross-functional teams to design, train, and deploy AI agents that enhance user experience and automate business processes. Build and optimize data pipelines on Databricks, utilizing Spark for large-scale data processing, analytics, and machine learning workflows.
• Develop and maintain collaborative notebooks, integrating Databricks with cloud storage and enterprise data sources for real-time insights.
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
Qualifications:
Required:
• Formal training or certification in software engineering concepts, with 5+ years of applied experience in enterprise environments.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) Java, Python
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical AWS cloud native experience
Preferred:
• Java development
• AI agentic development
• Databricks experience
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.