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Python Ml Developer Jobs in Delray Beach, FL (NOW HIRING)

Humana

Senior AI Software Engineer

Fort Lauderdale, FL · On-site +1

$117K - $154K/yr

The Senior Software Engineer work assignments involve moderately complex to complex issues where ... Proficiency in Python, Typescript and ML libraries (Hugging Face, PyTorch, scikit-learn, or similar)

Humana

Senior AI Software Engineer

Fort Lauderdale, FL · On-site +1

$117K - $154K/yr

The Senior Software Engineer work assignments involve moderately complex to complex issues where ... Proficiency in Python, Typescript and ML libraries (Hugging Face, PyTorch, scikit-learn, or similar)

Apex Systems

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Job#: 3030923 AI Engineer Location: REMOTE Employment Type: Contract to Perm Role Overview This is ... Strong proficiency in Python and at least one ML framework such as PyTorch, TensorFlow, scikit ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Delray Beach, FL

Python Ml Developer information

See Delray Beach, FL salary details

$12

$55

$81

How much do python ml developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python ml developer in Delray Beach, FL is $55.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.38 and $62.55 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Delray Beach, FL look for?

The top searched job categories for Python Ml Developer jobs in Delray Beach, FL are:

What cities near Delray Beach, FL are hiring for Python Ml Developer jobs?

Cities near Delray Beach, FL with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Delray Beach, FL as of June 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $114,495 per year, or $55 per hour.

Senior Computer Vision Engineer ID72408

Fort Lauderdale, FL • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

$99K - $136K/yr

Other

Posted 20 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
  • Translate complex business problems into viable, practical, and scalable AI/ML solutions;
  • Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
  • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
  • Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power to ensure optimal data quality and robust model performance in production.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Strong, production-level proficiency in Python;
  • Deep hands-on experience with PyTorch and/or TensorFlow;
  • Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
  • Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
  • Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
  • Familiarity with deploying models on edge devices;
  • Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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