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Machine Learning Engineer Jobs in Orlando, FL (NOW HIRING)

Medinext Global LLC

Data Scientist - W2

Orlando, FL · On-site

Understanding of statistics, probability, and machine learning concepts. * Experience with data cleaning, preprocessing, feature engineering, and exploratory data analysis. * Experience building and ...

Jobtailor

Data Scientist

Orlando, FL · On-site

Experience applying statistical modeling and machine learning techniques to real-world business problems * Strong programming skills in Python (e.g., Pandas, scikit-learn) and SQL * Experience with ...

Techvilla Solutions

Data Scientist

Casselberry, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Enterprise, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Orlando, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Zellwood, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Winter Springs, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Lake Monroe, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Pine Castle, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Sorrento, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Union Park, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Apopka, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

Techvilla Solutions

Data Scientist

Chuluota, FL · On-site

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Orlando, FL

Machine Learning Engineer information

See Orlando, FL salary details

$29.4K

$120.1K

$180.5K

How much do machine learning engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning engineer in Orlando, FL is $120,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Orlando, FL?

The most popular types of Machine Learning Engineer jobs in Orlando, FL are:

What are popular job titles related to Machine Learning Engineer jobs in Orlando, FL?

For Machine Learning Engineer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Orlando, FL look for?

The top searched job categories for Machine Learning Engineer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Machine Learning Engineer jobs?

Cities near Orlando, FL with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Orlando, FL as of September 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $120,123 per year, or $57.8 per hour.

Data Scientist - W2

Orlando, FL • On-site

Medinext Global LLC
See more jobs at Medinext Global LLCexternal

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Job description

Data Scientist - W2Job Overview

Medinext Global LLC is seeking a talented and analytical Data Scientist with 1-3 years of professional experience to join our team. The ideal candidate will have hands-on experience with Python, SQL, statistical analysis, machine learning, and data visualization.

The Data Scientist will work with business and technical teams to analyze complex datasets, develop predictive models, identify meaningful patterns, and deliver data-driven insights that support business decisions.

Responsibilities

  • Collect, clean, transform, and analyze structured and unstructured datasets.

  • Develop statistical and machine learning models to solve business problems.

  • Perform exploratory data analysis and identify trends, patterns, and relationships.

  • Build and evaluate predictive models using appropriate machine learning techniques.

  • Develop data visualizations, dashboards, and reports to communicate findings.

  • Write efficient SQL queries to extract and analyze data from databases.

  • Use Python for data analysis, modeling, and automation.

  • Collaborate with data engineers, software engineers, product teams, and business stakeholders.

  • Evaluate model performance and improve models based on business requirements.

  • Present technical findings and recommendations to both technical and non-technical audiences.

  • Document analytical approaches, models, methodologies, and results.

  • Stay current with emerging data science, machine learning, and AI technologies.

Required Qualifications

  • 1–3 years of professional experience in Data Science, Machine Learning, or a related field.

  • Strong proficiency in Python.

  • Strong knowledge of SQL and relational databases.

  • Experience with Pandas, NumPy, Scikit-learn, or similar data science libraries.

  • Understanding of statistics, probability, and machine learning concepts.

  • Experience with data cleaning, preprocessing, feature engineering, and exploratory data analysis.

  • Experience building and evaluating machine learning models.

  • Familiarity with data visualization tools such as Matplotlib, Seaborn, Power BI, or Tableau.

  • Strong analytical and problem-solving skills.

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred.

Preferred Qualifications

  • Experience with TensorFlow or PyTorch.

  • Knowledge of deep learning and neural networks.

  • Experience with AWS, Azure, or Google Cloud.

  • Familiarity with Databricks, Spark, or other big-data technologies.

  • Experience with NLP or Generative AI is a plus.

  • Knowledge of MLOps and model deployment practices.

  • Experience with Git and CI/CD.

  • Familiarity with Agile/Scrum methodologies.

Employment Type

W2 - Full Time

Experience

1-3 Years

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