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Machine Learning Trainee Jobs in Florida (NOW HIRING)

UAB

DATA SCIENTIST LEAD

Tampa, FL · On-site +1

$104.05K - $169.08K/yr

Typically includes creating various machine learning-based tools or processes within the unit, such ... Support faculty and trainee research projects * Develop familiarity with external data sources ...

Binderholz

Planer Mill Trainee

Live Oak, FL · On-site

Learning and understanding of Binderholz rules for lumber * Follow safety and work procedures ... Ability to work with computer software, Human Machine Interface (HMI), and control panels to ...

Binderholz

Saw Mill Trainee

Live Oak, FL · On-site

Learning and understanding of Binderholz rules for lumber * Follow safety and work procedures ... Ability to work with computer software, Human Machine Interface (HMI), and control panels to ...

University of Miami

BIOSTATISTICIAN 3

Miami, FL

... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ... Mentor junior statisticians, faculty, trainees, and research staff. * Participate in abstract ...

The University of Miami

BIOSTATISTICIAN 3

Miami, FL · On-site

... machine-learning and AI methods (e.g., neural networks, SVM). * Provide expert consultation on ... Mentor junior statisticians, faculty, trainees, and research staff. * Participate in abstract ...

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Machine Learning Trainee information

See Florida salary details

$17.1K

$87.3K

$170.5K

How much do machine learning trainee jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning trainee in Florida is $87,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,846.00 and $124,269.00 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.

What are the most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning jobs in Florida are:
What are popular job titles related to Machine Learning Trainee jobs in Florida? For Machine Learning Trainee jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Trainee jobs in Florida look for? The top searched job categories for Machine Learning Trainee jobs in Florida are:
Machine Learning Trainee jobs near you
Infographic showing various Machine Learning Trainee job openings in Florida as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $87,305 per year, or $42 per hour.
DATA SCIENTIST LEAD

DATA SCIENTIST LEAD

UAB

Tampa, FL • On-site, Remote

$104.05K - $169.08K/yr

Other

Posted 9 days ago

UAB Medicine rating

7.4

Company rating: 7.4 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

247th of 864 rated healthcare providers

Job description

Leads a team of data scientist professionals. Provides consultation on the design, testing, and enhancement of reporting systems. Researches, manipulates, and prepares advanced data reports related to program activities and the results of research interventions. Typically includes creating various machine learning-based tools or processes within the unit, such as recommendation engines or automated lead scoring systems. Performs statistical analysis to build Artificial Intelligence tools that automate certain processes within the unit and implement data science algorithms (e.g. regression, classification and clustering techniques, decision trees and random forests, machine learning techniques like supervised, unsupervised and reinforcement learning). Mentors and trains junior and professional staff members.

Data scientist lead for the Sight Outcomes Research Collaborative (SOURCE), a consortium of academic ophthalmology departments sharing de-identified electronic health record and ocular diagnostic test data on eye care recipients for research and quality improvement projects.

Duties and Responsibilities:

  • Provide support for faculty in the areas of data management and analysis
  • Support faculty and trainee research projects
  • Develop familiarity with external data sources, determine relationships with internal data and analyze uses of combined data
  • Communication of technical concepts to other researchers, publications, grants, external collaborators
  • Develop, maintain and utilize a database to track status of multiple projects
  • Perform other duties as assigned

Salary Range: $104,045 - $169,075

This position is located onsite in Birmingham, AL. No opportunity for remote work. 

Doctorate degree in a related field and four (4) years of related experience OR Master's degree in a related field and six (6) years of related experience required. Work experience may NOT substitute for education requirement. 

Preferred:

  • Experience working with Tableau
  • Experience in the use of PostgreSQL, Javascript, D3.js and Node.js, Linux, and other coding 
  • Experience working with nationally-representative survey data


 

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.

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