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Apprentice Machine Learning Testing Jobs in McKenzie, TN

Assa Abloy

Tool & Die Tech (2nd Shift)

Milan, TN · On-site

... machines, lathes, surface grinders, radial arm drill presses, heat treat ovens, hardness testing ... Tuition Reimbursement, Learning and Career Development opportunities * Flexible Spending * Employee ...

ASSA ABLOY

Tool & Die Tech (2nd Shift)

Milan, TN

... machines, lathes, surface grinders, radial arm drill presses, heat treat ovens, hardness testing ... Tuition Reimbursement, Learning and Career Development opportunities * Flexible Spending * Employee ...

McKinsey & Company

Associate -Tech & AI

Milan, TN · On-site

Your work will include gathering and analyzing information, formulating and testing hypotheses, and ... Our learning and apprenticeship culture, backed by structured programs, is all about helping you ...

Marmon

Valve Assembly

Mckenzie, TN · On-site

McKenzie Valve & Machining As a part of the global industrial organization Marmon Holdings-which is ... Responsible for repair and testing of various valves, including but not limited to ball valves ...

Marmon Holdings, Inc.

Valve Assembly

Mckenzie, TN · On-site

McKenzie Valve & Machining As a part of the global industrial organization Marmon Holdings-which is ... Responsible for repair and testing of various valves, including but not limited to ball valves ...

ASSA ABLOY

Manufacturing Tech (1st Shift)

Milan, TN

... machine, laser, etc. * Small tools - tape measure, square, angle protractor, caliper, gauges, wrenches, testing equipment and scales * Forklift, hand truck, power ox, and overhead crane * MIG welder ...

Assa Abloy

Manufacturing Tech (1st Shift)

Milan, TN · On-site

... machine, laser, etc. * Small tools - tape measure, square, angle protractor, caliper, gauges, wrenches, testing equipment and scales * Forklift, hand truck, power ox, and overhead crane * MIG welder ...

Summit Companies

Fire Sprinkler Technician

Milan, TN · On-site

Mentor and coach Fire Sprinkler Fitter Apprentice's and Helpers on proper installation techniques ... Employees will occasionally be exposed to chemicals, moving machinery, uneven and slippery surfaces.

Summit Companies

Fire Sprinkler Technician

Milan, TN

Mentor and coach Fire Sprinkler Fitter Apprentice's and Helpers on proper installation techniques ... Employees will occasionally be exposed to chemicals, moving machinery, uneven and slippery surfaces.

ASSA ABLOY

Manufacturing Technician

Milan, TN

... machine, laser, etc. * Small tools - tape measure, square, angle protractor, caliper, gauges, wrenches, testing equipment and scales * Forklift, hand truck, power ox, and overhead crane * MIG welder ...

Assa Abloy

Manufacturing Technician

Milan, TN · On-site

... machine, laser, etc. * Small tools - tape measure, square, angle protractor, caliper, gauges, wrenches, testing equipment and scales * Forklift, hand truck, power ox, and overhead crane * MIG welder ...

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Apprentice Machine Learning Testing information

See McKenzie, TN salary details

$8

$15

$22

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

As of Sep 9, 2026, the average hourly pay for apprentice machine learning testing in McKenzie, TN is $15.27, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $16.68 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Apprentice Machine Learning Testing jobs in McKenzie, TN look for?

The top searched job categories for Apprentice Machine Learning Testing jobs in McKenzie, TN are:

Apprentice Machine Learning Testing jobs near you

Data Engineer - QuantumBlack, AI by McKinsey

Milan, TN • On-site

McKinsey & Company
Business Management Consulting • 10K+ employees
Learn more about McKinsey & Companyexternal

$93K - $111K/yr

Full-time

Re-posted 6 days ago

Key responsibilities

  • Build and maintain scalable data pipelines and manage secure data environments for AI applications.

  • Collaborate with cross-functional teams and clients to prepare data for AI-driven systems and develop AI capabilities.

  • Assess data landscapes, apply data quality fundamentals, and contribute to the development of next-generation AI systems.

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You'll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.
You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You'll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you'll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help develop innovative AI capabilities and scalable enterprise solutions. You'll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm's ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.
You'll be based in our Milan office as part of our global Data Engineering community. Working in cross-functional Agile teams, you'll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you'll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.
Your work offers a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how data engineering enables advanced AI while collaborating with leading AI and data experts in the industry.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in Computer Science/Engineering, or equivalent experience
  • Experience in a data-focused role (internships, academic projects)
  • Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL
  • Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch)
  • Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)
  • Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles
  • Exceptional time management in a complex and largely autonomous work environment
  • Willingness to learn quickly and adapt to different project situations and tech stacks
  • Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
  • Strong communication skills, both verbal and written, in English.

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Social media

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