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Internship Graduate Machine Learning Jobs in Boca Raton, FL

Td

Data Scientist - FCRM

Fort Lauderdale, FL · On-site

$96K - $155K/yr

Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ... Graduate's degree preferred with either progressive project work experience or * 5+ year of ...

Danaher

Product Manager Internships

Lake Worth, FL

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

Danaher

Product Manager Internships

Boca Raton, FL

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

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All JobsInternship Graduate Machine Learning JobsInternship Graduate Machine Learning Jobs in Boca Raton, FL

Internship Graduate Machine Learning information

See Boca Raton, FL salary details

$24.2K

$40.4K

$83.5K

How much do internship graduate machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for internship graduate machine learning in Boca Raton, FL is $40,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,800.00 and $43,700.00 per year, depending on experience, location, and employer.

How much do ML interns get paid?

Machine Learning interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often last 10 to 12 weeks and may include additional benefits such as mentorship and skill development opportunities.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

What are the big 4 internships?

The big 4 internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in areas such as audit, consulting, tax, and advisory services, often targeting students pursuing degrees in business, finance, or related fields. They are highly competitive and often include training, mentorship, and potential pathways to full-time employment.

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

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What are Internship Graduate Machine Learning positions?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do Internship Graduate Machine Learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

Which 5 jobs will survive AI?

Jobs that require complex human judgment, creativity, emotional intelligence, and specialized skills—such as healthcare professionals, data scientists, software developers, educators, and skilled tradespeople—are more likely to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate, especially when combined with continuous learning and adaptability.

Is PG in AI worth it?

A postgraduate degree in AI can enhance qualifications for machine learning internship roles by providing advanced knowledge of algorithms, data analysis, and programming skills. It may improve job prospects and salary potential but is not always mandatory, as practical experience and skills in tools like Python and TensorFlow are highly valued in the field.
What are popular job titles related to Internship Graduate Machine Learning jobs in Boca Raton, FL? For Internship Graduate Machine Learning jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Internship Graduate Machine Learning jobs in Boca Raton, FL look for? The top searched job categories for Internship Graduate Machine Learning jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Internship Graduate Machine Learning jobs? Cities near Boca Raton, FL with the most Internship Graduate Machine Learning job openings:
Internship Graduate Machine Learning jobs near you

Junior Quantitative Trader

Franklintempleton

Fort Lauderdale, FL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Job description

At Franklin Templeton, we're advancing our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that's both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we provide opportunities to help you reach your potential while helping our clients reach theirs.

Come join us in delivering better outcomes for our clients around the world!

About the Department

We are seeking a Junior Quantitative Trader based in Fort Lauderdale, Fl to support trading activities across equities, FX, and cash instruments for pan-Americas markets. This is a hybrid role that is execution and workflow oriented, while also having a mandate on streamlining execution and trading operations with quantitative and analytics approaches.

This role is ideal for someone with strong quantitative and technical skills who is interested in markets, execution, and real-world trading outcomes, rather than academic model development.

The successful candidate will work closely with traders to:

  • Support day-to-day trading and execution

  • Analyze and monitor algorithmic trading performance

  • Improve execution and trading workflows by developing a systematic approach integrating internal systems, vendors and various data sources

How You Will Add Value

Trading & Execution Support

  • Assist traders in executing cash equity and FX trades, with a focus on best execution

  • Build a deep understanding of market structure and trading venues across markets

  • Monitor market conditions, liquidity, and execution quality across asset classes

  • Support daily cash and FX management activities as needed

Algorithm & Performance Analysis

  • Analyze performance of execution algorithms and trading strategies

  • Help identify drivers of slippage, costs, and performance variance

  • Produce regular execution and performance reporting for traders and management

Workflow & Data Engineering

  • Work closely with global quantitative execution team to improve trading workflows by utilizing internal systems, vendor data, and market data

  • Automate recurring analyses and reporting to improve desk efficiency

  • Work with large trade-oriented datasets to visualize and extract actionable insights to systematically improve executions

  • Partner with technology, data, and trading teams to streamline processes

Risk & Controls

  • Support trade monitoring, reconciliations, and exception handling

  • Assist with adherence to internal risk, compliance, and control frameworks

What Will Help You Be Successful in This Role

Experience, Education & Certifications

  • Bachelor's degree in finance, economics, mathematics, engineering, computer science, or related quantitative or technical fields with 1-2 years of relevant experience in trading and quant.

    • Note: We would consider a recent graduate with a BS degree in a quantitative field and relevant internship experiences in asset management with quantitative skills.

  • Strong interest in financial markets and trading

  • Proficiency in Python (or similar language) for data analysis and automation

  • Comfort working with large datasets and multiple data sources

  • Strong analytical and problem-solving skills

  • High attention to detail and ability to work in a fast-paced trading environment

Preferred Qualifications:

  • Exposure to equities, FX, or execution trading

  • Familiarity with:

    • Market microstructure concepts

    • Transaction cost analysis (TCA)

    • Trading algorithms and execution venues

  • Experience working with SQL, APIs, or market data vendors

  • Experience in Machine Learning and AI models; Power Automate and Cloud database

  • Internship or prior experience on a trading desk or in trading technology

Please Note: Applicants for this position must be authorized to work full time in the United States without the need for current or future visa sponsorship.

When applying, please be sure to attach your resume / CV. Applications without a resume file attachment will not be reviewed.

Work Schedule & Location

  • This is an onsite full-time role based in Ft. Lauderdale, Florida

  • Work Schedule: Hybrid - 4 days in office

Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary-designed to support the whole person and to recognize their time, talents, and results. Along with base compensation, other compensation is offered such as a discretionary bonus, 401k plan, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to location, job-related knowledge, skills, and experience. At Franklin Templeton, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation. We expect the annual salary for this position to range between$95,000 to $105,000.

#ASSOCIATE

#LI-Onsite

Experience our welcoming culture and reach your professional and personal potential!

Our culture is shaped by the variety of perspectives and experiences brought by talent from around the world. Regardless of your interests, lifestyle, or background, there's a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life's adventures, taking care of your family members, or making a positive impact in your community, we aim to have your needs covered. Learn more about the wide range of benefits we offer at Franklin Templeton.

Highlights of our benefits include:

  • Three weeks paid time off the first year

  • Medical, dental and vision insurance

  • 401(k) Retirement Plan with 85% company match on your pre-tax and/or Roth contributions, up to the IRS limits

  • Employee Stock Investment Program

  • Tuition Assistance Program

  • Purchase of company funds with no sales charge

  • Onsite fitness center and recreation center*

  • Onsite cafeteria*

*Only applicable at certain locations

Learn more about the wide range of benefits we offer at Franklin Templeton

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

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