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Apprentice Machine Learning Testing Jobs in Saint Paul, MN

Vizient

Senior Software Engineer

Minneapolis, MN · On-site

$102K - $179K/yr

Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications ... Apply engineering standards for testing, security, scalability, cost efficiency, and software ...

Varsity Tutors

Data Science Tutor

Edina, MN · Remote

$18 - $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 ...

Varsity Tutors

Data Science Tutor

Saint Paul, MN · Remote

$18 - $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 ...

Varsity Tutors

Data Science Tutor

Minneapolis, MN · Remote

$18 - $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 ...

UnitedHealth Group

Data Scientist

Minnetonka, MN · On-site

$60K - $107K/yr

Develop traditional machine learning models (classification, anomaly detection, NLP pipelines) for ... Strong grounding in ML fundamentals (feature engineering, model evaluation, A/B testing, MLOps best ...

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All JobsApprentice Machine Learning Testing JobsApprentice Machine Learning Testing Jobs in Saint Paul, MN

Apprentice Machine Learning Testing information

See Saint Paul, MN salary details

$11

$19

$28

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

As of Jul 13, 2026, the average hourly pay for apprentice machine learning testing in Saint Paul, MN is $19.58, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $21.39 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 Saint Paul, MN? For Apprentice Machine Learning Testing jobs in Saint Paul, MN, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Saint Paul, MN look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Saint Paul, MN are:
What cities near Saint Paul, MN are hiring for Apprentice Machine Learning Testing jobs? Cities near Saint Paul, MN with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Infographic showing various Apprentice Machine Learning Testing job openings in Saint Paul, MN as of July 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $40,726 per year, or $19.6 per hour.
Senior Software Engineer

Senior Software Engineer

Vizient

Minneapolis, MN • On-site

$102K - $179K/yr

Full-time

Posted 14 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will design, develop, and support scalable backend systems, cloud infrastructure, and data platform capabilities that power AI/ML products and healthcare analytics solutions. You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver secure, reliable, and maintainable software while contributing to engineering standards, operational excellence, and continuous innovation.

Responsibilities:

  • Design, develop, and maintain backend services, APIs, distributed systems, and platform components that support AI/ML applications and healthcare analytics solutions.
  • Build and support cloud infrastructure, containerized environments, CI/CD pipelines, and deployment workflows using infrastructure-as-code frameworks.
  • Develop data-intensive applications, data pipelines, and cloud-based data platforms that enable analytics, artificial intelligence, and machine learning initiatives.
  • Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications, RAG pipelines, and agentic AI solutions in production environments.
  • Leverage AI-assisted development tools to accelerate software delivery while ensuring code quality, security, maintainability, and reliability.
  • Validate, test, and optimize software solutions, including AI-generated code, to ensure performance, scalability, and production readiness.
  • Implement monitoring, logging, tracing, alerting, and operational support practices to improve system reliability and performance.
  • Apply engineering standards for testing, security, scalability, cost efficiency, and software development best practices.
  • Partner with product, data, platform, security, and business teams to deliver production-ready solutions and support technical design discussions.
  • Mentor team members through code reviews, technical collaboration, and knowledge sharing.

Qualifications:

  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Experience building data-intensive applications, data platforms, data pipelines, ETL/ELT processes, or modern data engineering solutions required.
  • Experience with AWS, Azure, GCP, or similar cloud platforms and infrastructure-as-code tools such as Pulumi or Terraform required.
  • Strong Python or Java development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications highly preferred.
  • Experience supporting machine learning systems, model serving, LLM applications, RAG workflows, agentic AI solutions, or related AI technologies highly preferred.
  • Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure automation, and cloud deployment practices preferred.
  • Experience leveraging AI-assisted development tools and validating AI-generated code in production environments preferred.
  • Experience with Databricks, Snowflake, Azure AI Foundry, observability platforms, monitoring, logging, tracing, or production support practices preferred.
  • Experience working with healthcare data, healthcare technology platforms, or healthcare analytics solutions highly preferred.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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