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Machine Learning Engineer Python Jobs in Apopka, FL

Title:- AI ML Engineer Location:- Orlando, FL(Onsite) Long Term Contract Required Skills ... Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud ...

Sr. AI/ML Engineer

Orlando, FL

$97.60K - $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)

Lead ML Ops engineer

Orlando, FL · On-site

$95.70K - $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 ...

... data for machine learning pipelines, feature engineering, and model lifecycle management ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

New

AI Architect, Manager

Orlando, FL · On-site +1

$58.75 - $77.50/hr

Python (Analytics/Software Engineering) * LLM solution architecture & solution development ... Understanding of data science and machine learning principles (Analytics) * DevOps, MLOps, SDLC ...

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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 May 31, 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:

Python Developer: Real-Time Intelligent Communication Systems

Entratus AI

Orlando, FL • On-site

$47 - $64.75/hr

Full-time

Posted 8 days ago


Job description

Candidates in the following states are encouraged to apply:
Florida, Georgia
Company Overview
Join our innovative technology team, developing cutting-edge solutions for agentic, context-aware intelligent conversations. We specialize in building platforms and products that deliver conversational agents pulling real-time data for advanced, interactive experiences.
Job Summary
We are seeking a Python Developer to join our dynamic team working on a real-time distributed communication framework. You will contribute to our Python-based back-end services, collaborating with Senior Developers and the Product Owner to build and optimize features.
This position offers an excellent opportunity to learn from experienced engineers, develop skills in asynchronous programming, containerization, and distributed systems, and contribute to the next generation of AI-powered applications.
Key Responsibilities
  1. Python Development
    • Contribute to backend services and APIs using Python, with a focus on asynchronous frameworks (e.g., FastAPI, Asyncio, Uvicorn, Aiohttp).
    • Write clean, maintainable, and efficient Python code that aligns with team standards and best practices.
  2. Real-Time Communication Systems
    • Assist in maintaining and optimizing the existing distributed communication framework.
    • Support the integration and troubleshooting of real-time data pipelines, ensuring low-latency and high-availability.
  3. Data Processing & Integration
    • Use libraries like Pandas, Openpyxl, and Python Dateutil for data manipulation and transformation.
    • Work with SQLAlchemy, Psycopg2, and Pgvector to manage database interactions and data storage.
  4. AI & Machine Learning Exposure
    • Collaborate with Senior Developers to integrate or optimize ML/NLP components (LangChain, Tiktoken, Litellm, Semantic Router) into the communication platform.
    • Participate in code reviews and brainstorming sessions for AI-related features.
  5. Configuration & Testing
    • Help manage environment settings.
    • Write and maintain Pytest test cases to ensure code quality and reliability.
    • Implement error monitoring and logging.
  6. Collaboration & Learning
    • Work closely with senior team members to understand product requirements, implement solutions, and refine features.
    • Participate in agile ceremonies (stand-ups, sprint planning, retrospectives), providing updates and feedback.
    • Seek out opportunities for personal and professional growth, actively engaging in mentorship and knowledge sharing.

Required Qualifications
  • 2+ year of experience in Python development.
  • Basic understanding of asynchronous programming and/or multi-threading concepts.
  • Familiarity with data manipulation libraries (e.g., Pandas, Openpyxl, Numexpr, Tqdm).
  • Understanding of RESTful API design and web frameworks (e.g., FastAPI, Flask, or similar).
  • Exposure to database technologies (SQL or NoSQL) and libraries like SQLAlchemy.
  • Excellent communication skills and a willingness to learn from senior engineers and collaborate with the team.
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Experience with version control systems (Git, GitHub, or similar).

Preferred Qualifications
  • Experience with in-memory data stores.
  • Familiarity with Node.js or willingness to learn for integrations.
  • Exposure to Docker or other containerization tools.
  • Basic understanding of cloud services (e.g., Azure Storage Blob, AWS, or similar).
  • Interest or prior experience in AI/ML or NLP libraries.
  • Understanding of CI/CD processes and DevOps best practices.

Why Join Us?
  • Mentorship & Growth: Work alongside senior developers committed to your professional development.
  • Cutting-Edge Technologies: Gain exposure to real-time communication frameworks, containerization, and AI/ML tools.
  • Innovative Culture: Collaborate in a forward-thinking environment shaping the future of intelligent conversation systems.
  • Hybrid Opportunity: Enjoy flexibility in a mostly remote setting, occasional visits to main offices required.

Location: Remote with some travel for meetings and to offices in Orlando or Deerfield Beach Florida may be required.
Compensation: Competitive salary, along with benefits and opportunities for professional development.
If you're passionate about learning and contributing to scalable, real-time Python applications in an AI-driven environment, we'd love to hear from you. Apply today and start your journey with us!