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Machine Learning Engineer Python Jobs in Apopka, FL

Sr. AI/ML Engineer

Orlando, FL

$97K - $134K/yr

Title: Sr. AI/ML Engineer Location: Orlando, FL (Onsite) Duration: Contract Rate: on W2 Only locals ... years of experience · - Experience in machine learning and deep learning with Python. · ...

... mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql)

... mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql)

ML Engineer Location: CA, WA, FL, NY (Disney Hubs) - Onsite Orlando, Florida San Francisco ... Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key ...

... python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn • ... machine learning models • Experience with Model explainability (SHAP, LIME) or similar • ...

Lead ML Ops Engineer

Orlando, FL

$95K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend ... Advanced proficiency in Python and architectural mastery of objectoriented design across ...

Design, develop, and maintain end-to-end software solutions using Java, C, and Python . * Develop ... Experience with data pipelines , machine learning integration , or IoT platforms is a plus.

Design, develop, and maintain end-to-end software solutions using Java, C, and Python . * Develop ... Experience with data pipelines , machine learning integration , or IoT platforms is a plus.

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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 Jun 22, 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, 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 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:
Sr. AI/ML Engineer

$97K - $134K/yr

Other

Posted yesterday


Job description

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Title: Sr. AI/ML Engineer

Location: Orlando, FL (Onsite)

Duration: Contract

Rate: on W2

Only locals-inperson interview is must

Required Skills:

·      - 12 years of experience

·       - Experience in machine learning and deep learning with Python.

·        - Familiarity with Azure and cloud platforms.

·         -Experience with generative AI technologies.

·         -Develop end-to-end applications using large language models, focusing on Chain of

·         -Thought methodologies.

·         -Articulate the deployment process for Llama 3.1 (70B) model into production, ensuring scalability and performance.

·         -Collaborate with cross-functional teams to integrate LLM capabilities into existing systems and workflows.


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About Smart IMS

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Smart IMS has grown to be one of the trusted technology and service partner for enterprises across the globe. Founded by business and technology experts with extensive experience in designing, implementing, and managing large and complex projects at Fortune 500 companies, we’ve perfected the craft of creating solutions that truly make a difference.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994