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Machine Learning Trainee Jobs (NOW HIRING)

GABLETEK

Skilled Trades Trainee

Troy, MI · On-site

Machine Building * Electrical * Pipefitting This position offers hands-on learning within an automation environment while working alongside experienced professionals. Trainees will participate in ...

University of Colorado

Postdoctoral Fellow/Trainee

Aurora, CO · On-site

$49.80K - $67.60K/yr

Postdoctoral Fellow/Trainee Position #00848177 - Requisition #39967 Job Summary: As a postdoctoral ... Research plans will include the development of novel computational/biostatistical/machine learning ...

University of Colorado

Postdoctoral Fellow/Trainee

Aurora, CO

$49.80K - $67.60K/yr

Postdoctoral Fellow/Trainee Position #00848177 - Requisition #39967 Job Summary: As a postdoctoral ... Research plans will include the development of novel computational/biostatistical/machine learning ...

Quad

Electrical/Mechanical Trainee

Delafield, WI · On-site

Additional areas of learning include: Hydraulics, Pneumatics, Predictive Maintenance, Welding, Machine tool operation, and more. While in the plant, Quads Maintenance Tech Trainee will be responsible ...

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Machine Learning Trainee information

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$21.5K

$109.6K

$214K

How much do machine learning trainee jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning trainee in the United States is $109,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Trainee, and why are they important?

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

What kind of projects and tasks can I expect to work on as a Machine Learning Trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

What are Machine Learning Trainees?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.

What is the difference between Machine Learning Trainee vs Data Scientist?

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

More about Machine Learning Trainee jobs
What cities are hiring for Machine Learning Trainee jobs? Cities with the most Machine Learning Trainee job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Machine Learning Trainee jobs? States with the most job openings for Machine Learning Trainee jobs include:
What job categories do people searching Machine Learning Trainee jobs look for? The top searched job categories for Machine Learning Trainee jobs are:
Machine Learning Trainee jobs near you
Infographic showing various Machine Learning Trainee job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $109,597 per year, or $52.7 per hour.

Skilled Trades Trainee

GABLETEK

Troy, MI • On-site

Full-time

Posted 10 days ago

Job description

Company: Gabletek 
Position: Skilled Trades Trainee
Job Description
Gabletek is seeking motivated Skilled Trades Trainees interested in building a long-term career in industrial automation and skilled trades. This is an excellent opportunity for mechanically inclined individuals looking to gain hands-on experience and develop valuable technical skills in a growing industry. We welcome both experienced candidates and individuals with little to no experience who are eager to learn.
Trainees will receive exposure and training in three primary skilled trades areas:
  • Machine Building
  • Electrical
  • Pipefitting
This position offers hands-on learning within an automation environment while working alongside experienced professionals. Trainees will participate in skilled trades training classes and practical shop experience designed to build foundational knowledge and real-world skills used in automation, manufacturing, and industrial systems.
Training Classes Include
  • Machine building fundamentals
  • Industrial electrical basics
  • Pipefitting fundamentals
  • Reading mechanical and electrical blueprints
  • Safe tool usage and shop safety procedures
  • Automation equipment and robotic system exposure
  • Preventative maintenance and troubleshooting basics
What Trainees Will Learn
  • Reading and interpreting mechanical and electrical drawings
  • Machine assembly and installation techniques
  • Basic industrial electrical wiring and troubleshooting
  • Pneumatics, hydraulics, and pipe routing fundamentals
  • Safe use of hand tools and power tools
  • Preventative maintenance and automation system support
  • Understanding robotic and automated manufacturing equipment
  • Teamwork, communication, and problem-solving in an industrial setting
Benefits of the Program
  • Opportunity for long-term career growth in skilled trades
  • Hands-on training and classroom-style instruction
  • Exposure to automation and advanced manufacturing technology
  • Learn from experienced machine builders, electricians, and pipefitters
  • Build valuable trade skills that can lead to a rewarding career path
  • Great opportunity for mechanically inclined individuals looking to enter the trades industry
Ideal Candidates
  • Mechanically inclined and eager to learn
  • Interested in automation, manufacturing, or skilled trades
  • Able to work with tools and hands-on equipment
  • Positive attitude and willingness to grow professionally
  • Prior experience is a plus, but not required

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