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Machine Learning Engineer Intern Jobs in Land O Lakes, FL

Deloitte

Senior AI Engineer - SFL Scientific

Tampa, FL

$98K - $135K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Jobtailor

AI/ML Engineer, Precision Oncology

Tampa, FL · On-site

$150 - $200/hr

* Design, develop, deploy, and maintain scalable AI and machine learning systems for precision ... Evaluate and implement emerging AI technologies, engineering frameworks, and best practices ...

New

Disys

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ...

Disys - Oak Brook

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

eTeam

Banking AI Engineer

Tampa, FL · On-site

Responsibilities : • AIML Model Development • Design build and optimize machine learning and ... Engineering Pipelines • Prepare transform and manage datasets build feature pipelines and model ...

Moderna

Intern, Applied Technologies (Summer 2027)

Tampa, FL · On-site

$20 - $60/hr

As an Applied Technologies Intern, you will work alongside engineers and scientists to support the ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

Raft

ML Ops Engineer

Tampa, FL · On-site

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

Pwc

AI Engineer

Tampa, FL

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Moderna

Intern, Applied Technologies (Summer 2027)

Tampa, FL · On-site +1

$20 - $60/hr

As an Applied Technologies Intern, you will work alongside engineers and scientists to support the ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

New

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Showing results 41-60

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Land O' Lakes, FL

Machine Learning Engineer Intern information

See Land O Lakes, FL salary details

$21.3K

$35.5K

$73.4K

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

As of Sep 8, 2026, the average yearly pay for machine learning engineer intern in Land O' Lakes, FL is $35,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,100.00 and $38,400.00 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 cities near Land O' Lakes, FL are hiring for Machine Learning Engineer Intern jobs?

Cities near Land O' Lakes, FL 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 Land O' Lakes, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $35,521 per year, or $17.1 per hour.

Machine Learning User Research Scientist (Ph.D. required)

Exponent Inc.

Tampa, FL • On-site

$100 - $125/hr

Other

Retirement

Re-posted 20 days ago

Job description

Our Opportunity

We are currently seeking a Ph.D. levelMachine Learning User Research Scientist for ourData Sciences Practice inTampa, FL. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronic industry.

You will be responsible for
  • Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms, including protocol development, data collection, data management, and analysis
  • Providing operational support for prototype hardware and software systems including system validation and troubleshooting
  • Actively solving technical and logistical problems in a fast-paced environment
  • Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences
  • Developing data analysis and visualization tools related to project management, demographics, and human-centered data
  • Developing and maintaining client relationships
You will have the following skills and qualifications
  • Ph.D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, or Robotics)
  • Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences
  • Demonstrated experience and expertise in one or more of the following areas:
    • Advanced sensing technology
    • Networking data analysis and visualization
    • Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development
    • Experience in programming or scripting languages like Python, Shell, Java, Perl, MATLAB
    • Experience in instrumentation, data acquisition, and /or data processing
    • Operations optimization
    • Machine learning data set design or optimization
    • Dynamic system modeling and control
  • Experience with human subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms
  • The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
  • Strong practical engineering ability combined with leadership and project management skills
  • Excellent verbal and written communication skills
  • Ability to work independently and in multidisciplinary teams
  • Ability to travel to a variety of global locations to support project work (up to 40% travel)
  • Presently legally authorized to work in the United States; no immigration sponsorship or processing required
Compensation

Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.

Benefits you will enjoy

Access benefits information on our Life@Exponent page:

https://www.exponent.com/careers/life-exponent

Job Locations

US-FL-Tampa

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.

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