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Machine Learning Engineer Python Jobs in Apopka, FL

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Cloud think technologies LLC

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Write efficient and scalable Python scripts to support AI and machine learning projects. Collaborate with cross-functional teams to design and deliver AI-powered products and services. Deploy AI ...

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

... with Python and SQL, with solid software engineering fundamentals including testing, version ... end machine learning systems in production environments. * Passion for basketball and an ...

Varsity Tutors

Python Tutor

Orlando, FL · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Machine Learning Engineer Python information

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$20.2K

$122.7K

$177.5K

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

As of May 30, 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 the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

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 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 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 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 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:
Machine Learning Engineer Python jobs near you

Machine Learning Eng./Data Lead

Ascension Federal Services Inc.

Orlando, FL

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago

Job description

Job Description: Machine Learning Eng./Data LeadLocation: Orlando, FL, 32801Job Summary:

We are seeking a highly skilled Machine Learning Engineer/Data Lead to join our team. The ideal candidate will have experience in developing and implementing machine learning models and algorithms, as well as experience in data management and analysis. The Machine Learning Engineer/Data Lead will be responsible for leading the development and implementation of machine learning solutions, as well as managing and analyzing large datasets.

Responsibilities:
  • Develop and implement machine learning models and algorithms
  • Manage and analyze large datasets
  • Lead the development and implementation of machine learning solutions
  • Collaborate with cross-functional teams to identify and solve complex business problems
  • Stay up-to-date with the latest developments in machine learning and data analysis
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of experience in machine learning and data analysis
  • Strong programming skills in Python, R, or other relevant languages
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Experience with data management and analysis tools such as SQL, Hadoop, or Spark
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.

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