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Apprentice Machine Learning Testing Jobs in Manchester, NH

The role includes reviewing detailed designs, the testing structure, and code, while also focusing ... Experience using generative AI to aid in software development, developing machine learning-based ...

Senior Mechanical Engineer

Manchester, NH · On-site

$104K - $137K/yr

... and machine learning technologies. * Work with multi-disciplinary team including electrical ... Develop FMEAs. Evaluate designs through simulation, prototype testing, usability studies, and ...

Fire Alarm Apprentice

Hudson, NH · On-site

$20 - $23/hr

... learning the mechanics of fire alarm system installation ... This position will assist with the performance of routine inspections, testing, and preventative ...

Eng Prin - SW

Merrimack, NH · On-site

$118K - $200K/yr

Our team uses advanced machine learning-based algorithms to enable fast adaption for new and ... Testing. You will prepare design and project documentation intended to be used within complex ...

Process Technician Apprentice

Andover, MA · On-site

$21.78 - $36.31/hr

... testing, perform routine tests, and maintain cleanliness and sanitization of manufacturing ... Familiarity and basic understanding of common AI tools and a curiosity for learning how they can be ...

New

IBEW Tutor

Lawrence, MA · 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 ...

Extrusion Operator- 2nd Shift

Manchester, NH · On-site

$17 - $20.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Machine Operator Responsibilities * Set up machines (calibration, cleaning etc.) to start a ...

We're committed to making a positive impact on the world, providing you with diverse learning and ... Machine Operator Responsibilities * Set up machines (calibration, cleaning etc.) to start a ...

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Apprentice Machine Learning Testing information

See Manchester, NH salary details

$11

$19

$28

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

As of Jul 11, 2026, the average hourly pay for apprentice machine learning testing in Manchester, NH is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $21.06 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 Manchester, NH? For Apprentice Machine Learning Testing jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Manchester, NH look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Manchester, NH are:

Other

Posted 4 days ago


Job description

Description

Position Overview: Responsible for the high-level architecture and design of medical device software, ensuring alignment with system and software requirements. This "hands-on" role requires you to be in our Bedford, NH office (on a scheduled basis) to collaborate with project managers and software teams on multiple projects. The role includes reviewing detailed designs, the testing structure, and code, while also focusing on risk management and cybersecurity to ensure device safety for users and clinicians. It also offers the chance to lead technical initiatives, guide engineering teams, and make a significant impact on the development of medical devices.


Key Responsibilities:

  • Architecture & Design: Develop scalable, secure, and compliant software architecture based on system and software requirements.
  • Collaboration & Leadership: Work closely with project managers and software teams, providing architectural guidance and mentoring engineers.
  • Code Quality & Reviews: Conduct code reviews, enforce coding standards, and ensure high-quality, maintainable code.
  • Regulatory Compliance: Ensure adherence to regulatory standards (e.g., IEC 62304) for medical device software.
  • Risk Management & Cybersecurity: Integrate safety measures and conduct risk assessments to ensure device safety.
  • Continuous Improvement: Advocate for best practices, evaluate new technologies, and enhance development processes.

Requirements

Qualifications:

  • Required: Bachelor's degree in software engineering, Computer Science, Electrical Engineering, or a related field; 10+ years of industry experience; proficiency in programming languages (e.g., C, C#, C++, JavaScript); experience with embedded systems, and medical device development; familiarity with Agile/Scrum processes.
  • Beneficial: Master's degree; experience in Class B and C medical devices; Linux OS configuration; familiarity with test-driven development (TDD), CI/CD, and regulatory standards like IEC 62304.
  • Preferred: Experience using generative AI to aid in software development, developing machine learning-based products, knowledge of embedded Linux, real-time operating systems (RTOS), and cybersecurity hardening, as well as familiarity with Atlassian tools and software development best practices.