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Python Ml Developer Jobs in Miami, FL (NOW HIRING)

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

Strong software engineering and coding skills in Python, with experience contributing to production codebases * Experience developing and deploying ML models end‑to‑end -- from research and ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

Strong software engineering and coding skills in Python, with experience contributing to production codebases * Experience developing and deploying ML models end-to-end - from research and ...

Eightelevengroup

AI Engineer- Glen-Erik

Miami, FL · On-site

$70 - $80/hr

AI Engineer Miami, FL Hybrid Role $70 - $80 per hour ABOUT THE ROLE Our client, a leading ... Python * Build and operationalise AI/ML solutions within Databricks environments * Develop and ...

Munich Re

Data Scientist

Fort Lauderdale, FL · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Munich RE

Data Scientist

Fort Lauderdale, FL · On-site

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Rempli

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Collaborate with ML and AI teams on data needs Qualifications * 2-5+ years of experience in data engineering * Strong SQL and Python skills * Experience with ETL/ELT pipelines and big data tools

YO AI Labs

Backend Developer - Remote

Miami, FL · Remote

$80 - $120/hr

Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ... Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews ...

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Python Ml Developer information

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$56

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How much do python ml developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python ml developer in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 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 are popular job titles related to Python Ml Developer jobs in Miami, FL?

For Python Ml Developer jobs in Miami, FL, the most frequently searched job titles are:

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

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

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

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

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Miami, FL as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $116,622 per year, or $56.1 per hour.

Applied Scientist AI/ML

Miami, FL • On-site

Opendoor
See more jobs at Opendoorexternal

$156K - $355K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Opendoor

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end‑to‑end online experience that has already helped thousands of people and we’re just getting started.

About the Role

We’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi‑modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

What You'll Need
  • Strong software engineering and coding skills in Python, with experience contributing to production codebases
  • Experience developing and deploying ML models end‑to‑end — from research and prototyping to implementation in production systems
  • Hands‑on experience with deep learning architectures, including ConvNets, Transformers, or similar
  • Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
  • Solid foundation in statistics and experimental design
  • Strong communication and collaboration skills — you’re comfortable working with cross‑functional stakeholders and can communicate technical ideas clearly
Nice to Have
  • Familiarity with Pyspark and distributed data processing
  • Background in search, recommendation systems, or personalization
  • Experience working with large language models (LLMs) or vision‑language models (VLMs)
  • A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data
What You'll Do
  • Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
  • Build interpretable ML models that can help us explain pricing decisions to customers
  • Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting‑edge AI models (LLMs, VLMs, etc.)
  • Collaborate with Engineering and Ops to enhance our human‑in‑the‑loop pricing systems
  • Improve the feature engineering and model training pipelines that power our production systems
  • Rethink our risk and optimization models using real‑world data and domain insight
  • We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.
Compensation

The base pay range for this positionis $156,800-$355,000 annually, plus RSUs. Paywithin this range varies by work locationand may also depend on your qualifications, job‑related knowledge, skills,and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

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