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Machine Learning Engineer Python Jobs in Apopka, FL

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 ...

Large language models (LLM), generative AI, NLP, and machine learning * Frameworks and patterns ... Proficiency in Python, API development, and application design * AWS and/or Azure deployment and ...

Senior Data Engineer ID75059

Orlando, FL · On-site +1

$99K - $134K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... Python (strong, hands-on Python experience is a must); - 5+ years of experience with data ...

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 ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML). • Programming: Expert-level skills in SQL, Python, and R. • Automation & Apps: Experience with ...

Apply machine learning and AI techniques to optimize licensing workflows * Mentor junior or ... Excellent programming skills in languages Java and Python. * Experience with cloud platforms (AWS ...

Senior Software Engineer

Orlando, FL · On-site

$114K - $150K/yr

Advancedproficiencyin one or more programming languages, such as C++, Python, C#, Java, or C ... Experience with artificial intelligence, machine learning, neural networks, AI-assisted software ...

Showing results 41-60

Machine Learning Engineer Python information

See Apopka, FL salary details

$20.2K

$122.7K

$177.5K

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

As of Aug 5, 2026, the average yearly pay for machine learning engineer python in Apopka, FL is $122,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $144,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What cities near Apopka, FL are hiring for Machine Learning Engineer Python jobs? Cities near Apopka, FL with the most Machine Learning Engineer Python job openings:
Infographic showing various Machine Learning Engineer Python job openings in Apopka, FL as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,686 per year, or $59 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