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Internship Machine Learning Jobs in Florida (NOW HIRING)

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns ... Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ...

... and machine learning personalization. FUNCTIONAL RESPONSIBILITIES: * Assists in the design ... application (internship, co-op, work experience) in an analytics field * Strong SQL skills

... and machine learning personalization. FUNCTIONAL RESPONSIBILITIES: * Assists in the design ... application (internship, co-op, work experience) in an analytics field * Strong SQL skills

Position Overview Internship Learning Objectives: * Gain practical experience applying DevSecOps ... Machine learning or data analysis * Strong willingness to learn, take direction, and work ...

... machine learning or computer vision solutions in real-world environments (production systems, customer-facing products, or internal platforms). Demonstrated experience through internships, research ...

... and machine learning personalization. FUNCTIONAL RESPONSIBILITIES: • Assists in the design ... internship, co-op, work experience) in an analytics field • Strong SQL skills • Certificate in ...

This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ... D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field * Solid ...

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Internship Machine Learning information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do internship machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for internship machine learning in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

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

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
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 Internship Machine Learning jobs in Florida? For Internship Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Florida look for? The top searched job categories for Internship Machine Learning jobs in Florida are:
What cities in Florida are hiring for Internship Machine Learning jobs? Cities in Florida with the most Internship Machine Learning job openings:
Infographic showing various Internship Machine Learning job openings in Florida as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Part Time, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Data Scientist

$107K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

Job Title: Senior Data Scientist (Operations Strategy & Advanced Analytics)
Role Overview
We are seeking a highly sophisticated Senior Data Scientist to formulate and apply advanced analytical approaches to drive incremental business value across a complex, high-volume enterprise ecosystem. In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve intricate problems. You will not only be an individual contributor but also a technical leader, mentoring a team of analysts and engineers while exploring state-of-the-art methodologies to keep our organization at the cutting edge of decision science.
Key Responsibilities
Advanced Analytical Modeling (45%)
• Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.
• Conduct rigorous error analysis to iterate on and improve model performance for large-scale predictions.
Data Engineering & Feature Discovery (20%)
• Assist in the collection, cleaning, and organization of large structured and unstructured datasets.
• Identify causes of variability, test new features, and integrate them into production-level code.
Stakeholder Communication & BI (15%)
• Utilize business intelligence tools to create compelling visualizations that translate complex findings into actionable insights for both technical and non-technical executive leadership.
Research & Innovation (10%)
• Explore and pilot state-of-the-art analytical tools and emerging technologies that can be leveraged to improve team efficiency and model accuracy.
Technical Leadership & Mentorship (10%)
• Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies and continuous improvement.
Qualifications & Requirements
• Education: Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science (Doctoral degree preferred).
• Technical Mastery:
• Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML).
• Programming: Expert-level skills in SQL, Python, and R.
• Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps).
• Visualization: Expertise in Power BI or Tableau.
• Experience:
• 3+ years of applied experience in analytical model design, development, and deployment.
• 5+ years of experience in high-volume consumer environments (e.g., hospitality, retail, or entertainment) is preferred.
• Attributes:
• Superior conceptual thinking and creative problem-solving skills.
• Demonstrated leadership and mentorship ability in an Agile or continuous improvement environment.
• Willingness to support a 24/7/365 operation, including peak demand periods (weekends and holidays).
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA