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Machine Learning Engineer Intern Jobs in Florida

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$100 - $125/hr

Preferred Qualifications PhD in Mathematics, Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience with deep learning frameworks like TensorFlow or ...

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

Summary We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of ...

247Hire

Machine Learning Engineer

Orlando, FL · On-site

Seeking a Machine Learning Engineer for the following role - Generative AI & ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, Diffusers Training: DeepSpeed, Accelerate, Ray, distributed ...

ClifyX

Sr. Machine Learning Engineer

Bradenton, FL · On-site

$50.50 - $66.75/hr

ClifyX is seeking a Sr. Machine Learning Engineer who will collaborate with a team of Data Scientists and Data Analysts to create scalable, data-driven solutions. The role involves designing ...

Bespoke Labs

Machine Learning Engineer

Hialeah, FL

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Florida

Machine Learning Engineer Intern information

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$19.1K

$31.8K

$65.8K

How much do machine learning engineer intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer intern 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 a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Florida?

The most popular types of Machine Learning Engineer jobs in Florida are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Florida?

For Machine Learning Engineer Intern jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Florida look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Florida are:

What cities in Florida are hiring for Machine Learning Engineer Intern jobs?

Cities in Florida with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.

Machine Learning Engineer

Miami, FL • On-site

Qfanalytics
See more jobs at Qfanalyticsexternal

$100 - $125/hr

Other

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Apply data modeling and statistical skills to develop and implement data-driven solutions.

  • Curate, prepare, and analyze large datasets for machine learning projects, ensuring data quality and compatibility.

  • Utilize machine learning and deep learning algorithms, tools like TensorFlow/PyTorch, and interface with databases to build, train, and enhance models.

Job description

QF Analytics LLC is a fintech company that develops and supports one of the world’s fastest-growing online trading platforms with a monthly trading volume in excess of $11 billion dollars. We are expanding our team aggressively and looking ideally for individuals with trading domain knowledge, who can help develop and support a robust financial trading infrastructure.

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company’s Data Analysis and Machine Learning capabilities. They’ll be working on cutting edge Quantitative Data Analysis and Machine Learning challenges. Our environment is fast paced and constantly changing; the right candidate must be able to demonstrate strong communication skills, creative solutions, and results-driven behavior in time-sensitive situations.

This opportunity presents an exciting chance for individuals seeking a dynamic work environment. The successful candidate will have the option to work in a hybrid capacity, commuting to offices in Miami, Chicago, Atlanta, Toronto (Canada) or Nassau (Bahamas), fostering a collaborative and engaging atmosphere. Join our team and experience the synergy that comes from working together in person, while also enjoying the flexibility and convenience of working from home a couple days a week.

Responsibilities

Apply strong data modelling and statistical skills to develop and implement data-driven solutions.

Curate and prepare data for supervised and unsupervised machine learning projects, ensuring data quality and compatibility.

Manipulate and analyze large datasets, including numerical and categorical data, using appropriate techniques and tools.

Utilize knowledge of classical machine learning and deep learning algorithms to address specific problem domains.

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications.

Interface with databases to gather relevant information for analysis and modeling.

Fuse and correlate different data feeds to gain insights and enhance predictive capabilities.

Stay updated with the latest advancements in the field of machine learning and artificial intelligence, including tools, conferences, and industry blogs.

Possess a solid understanding of capital markets concepts and quantitative financial methods to effectively apply machine learning techniques in finance-related projects.

Required Qualifications

Master’s Degree in Mathematics, Engineering, Physics or related field;

Proficiency in Python;

Strong understanding of SQL for data manipulation and extraction;

Solid knowledge of probability and statistics to effectively analyze and interpret data;

Knowledge of applied mathematics, including convex optimization, quadratic programming, and partial differential equations;

Proficiency in analyzing and interpreting data, along with the ability to question it and draw meaningful conclusions;

Hands‑on approach and flexibility to apply various methods and techniques to generate actionable ideas;

Proactive, self‑motivated, and team‑oriented mindset, demonstrating strong analytical thinking;

Strong conceptualization, innovation, and problem‑solving skills;

Ability to communicate effectively through verbal and written presentations;

Preferred Qualifications

PhD in Mathematics, Engineering, Physics or related field;

4-8 years experience working in Machine Learning;

Experience with deep learning frameworks like TensorFlow or PyTorch;

Familiarity with C# and .NET framework;

Familiarity with Azure Environments; specifically Azure Data Functions;

Familiarity with Docker initialization and environment management.

What We Have To Offer

Flexible work arrangements when in office (including working from home periodically);

Competitive salaries, often better than industry, for comparable roles;

Daily premium lunch catering, and keeping the office stacked with fruits and snacks;

Arcade, foosball, snooker, pingpong, and fully equipped game room with latest generation gaming consoles on site;

Comprehensive health benefits plan that kicks in after 90 days of successful employment, including access to exclusive employee discounts;

Bonus and incentive programs.

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