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Machine Learning Engineer Intern Jobs in Altamonte Springs, FL

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Orlando Summer 2027 Internship

Orlando, FL · On-site

$15.50 - $20.25/hr

Where applicable, your assignment will support learning that applies to earning educational credits ... Depending on business need and location, the Intern/Co-Op will be supervised and assigned to work ...

Orlando Summer 2027 Internship

Orlando, FL · On-site

$15.50 - $20.25/hr

Where applicable, your assignment will support learning that applies to earning educational credits ... Depending on business need and location, the Intern/Co-Op will be supervised and assigned to work ...

They are seeking a Software Engineer to develop and deploy advanced cloud-based software products ... Preferred : • Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D ...

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Machine Learning Engineer Intern information

See Altamonte Springs, FL salary details

$23.8K

$39.8K

$82.3K

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

As of Jul 16, 2026, the average yearly pay for machine learning engineer intern in Altamonte Springs, FL is $39,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 is a Machine Learning Engineer Intern job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 Altamonte Springs, FL are hiring for Machine Learning Engineer Intern jobs? Cities near Altamonte Springs, FL with the most Machine Learning Engineer Intern job openings:

Full-time

Re-posted 13 days ago


Job description

Company Description

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.

Job Description

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Qualifications

Qualifications

         Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

         At least 2 years' of experience in quantitative analytics or data modeling

         Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms

         Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.

         Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)

Additional Information

Responsibilities

         Analyze raw data: assessing quality, cleansing, structuring for downstream processing

         Design accurate and scalable prediction algorithms

         Collaborate with engineering team to bring analytical prototypes to production

         Generate actionable insights for business improvements

tion will be kept confidential according to EEO guidelines.