1

Machine Learning Jobs in Clermont, FL (NOW HIRING)

The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ideal candidate applies ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Data Scientist

Orlando, FL · On-site

$107K/yr

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 ...

Developing machine learning models for liquid-solid, solid-solid, and gas-solid interfaces. * Analyzing and disseminating research results through peer-reviewed publications and conference ...

Data Science Tutor

Orlando, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze intricate challenges and provide actionable insights - Mentor and guide junior team members in their ...

Showing results 21-40

Machine Learning information

See Clermont, FL salary details

$22.7K

$38K

$78.5K

How much do machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning in Clermont, FL is $37,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Clermont, FL? For Machine Learning jobs in Clermont, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Clermont, FL look for? The top searched job categories for Machine Learning jobs in Clermont, FL are:
What cities near Clermont, FL are hiring for Machine Learning jobs? Cities near Clermont, FL with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Clermont, FL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $37,990 per year, or $18.3 per hour.

Data Scientist - Healthcare

Stellar IT Group

Orlando, FL • On-site

Contractor

Re-posted 27 days ago


Job description

Overview:
Title: Data Scientist
Location: Orlando, FL - hybrid - 3 days onsite
Duration: 3-6+ month contract - potential to hire
Must have: healthcare experience (Claims data highly preferred), SQL, Python, Machine Learning
Key Responsibilities
  • Develop, enhance, and optimize statistical and machine learning models to improve accuracy and business outcomes
  • Analyze large-scale healthcare datasets, including claims and consumer data, to generate actionable insights
  • Apply statistical methods such as:
  • Hypothesis testing (t-tests, etc.)
  • Regression analysis
  • Advanced modeling techniques
  • Build and maintain data pipelines and analytical datasets using SQL and cloud-based platforms
  • Partner with stakeholders to translate business problems into data-driven solutions
  • Create ad hoc reports and dashboards to support leadership decision-making
  • Provide analytical rigor and ensure models meet academic and statistical best practices
  • Present findings and insights to business and clinical stakeholders, with potential participation in conferences and external forums

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, or related field
  • Healthcare industry experience required, specifically:
  • Claims data across payers/providers
  • Strong experience with:
  • SQL (must-have)
  • Data analysis and statistical modeling
  • Proven ability to work with cross-functional stakeholders and communicate complex insights clearly

Preferred Qualifications
  • Master's degree (strongly preferred) in Data Science, Statistics, or related field
  • Experience with:
  • Snowflake (preferred)
  • Python or similar programming languages

Skills:
Data Scientist,healthcare