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Python Ml Developer Jobs in Florida (NOW HIRING)

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines ... Python skills for defining and maintaining ML pipelines • Practical experience with PyTorch ...

Python/Pyspark Developer

Tampa, FL

$47.50 - $65.50/hr

Lead the design, development, and deployment of Python and Generative AI solutions, including ... Architect and implement scalable AI/ML workflows, managing the end-to-end lifecycle of models from ...

Python Data Engineer

Tampa, FL · On-site

  • Retirement

We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ...

Python Data Engineer

Tampa, FL · On-site

  • Retirement

We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ... DevOps. What we are hiring: Our program supporting SOCOM needs onsite engineers to work on python ...

AI/ML Engineer

Miami, FL · On-site

$100 - $130/hr

Collaborate with DevOps teams to optimize and monitor production‑level AI/ML solutions. * Be a ... Proficient in programming languages such as Python and familiar with machine learning libraries (e ...

New

Python AI Engineer

Sunrise, FL · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... skilled Python Developer with strong expertise in PostgreSQL, and PyTest. The role involves ... CD • Python, AI/ML, Tensorflow, LLM, GenAI • Implement efficient data ingestion and ...

Agentic AI developer

Tampa, FL

$114K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field * 7-10+ years of experience developing scalable applications, including AI/ML systems * Strong expertise in Python ...

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow.

Python Data Engineer

Tampa, FL · On-site

$70 - $90/hr

  • Retirement

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... tools, and AI/ML capabilities for federal government customers. Our teams develop ...

Showing results 21-40

Python Ml Developer information

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 Florida look for?

The top searched job categories for Python Ml Developer jobs in Florida are:

What cities in Florida are hiring for Python Ml Developer jobs?

Cities in Florida with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Florida as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

ML Ops Engineer

Raft

Tampa, FL • On-site

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Raft is a customer-obsessed small business focused on Distributed Data Systems and Complex Application Development, headquartered in McLean, VA. They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.
Responsibilities:
• Collaborate with a cross-functional data team comprising AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
• Design, build, and maintain the infrastructure and pipelines that enable Machine Learning model training, deployment, and scaling.
• Manage distributed workloads across GPU-enabled Kubernetes clusters and ensure efficient resource orchestration between training and inference operations.
Qualifications:
Required:
• 3+ years of relevant hands-on experience
• Experience building and maintaining machine learning pipelines
• Strong Python skills for defining and maintaining ML pipelines
• Practical experience with PyTorch (TensorFlow experience acceptable)
• Airflow for job orchestration, particularly managing resources between training and inference workloads
• Strong Kubernetes experience including managing local clusters, running different flavors, and managing custom resource definitions
• Istio networking experience in Kubernetes environments
• Experience working with MinIO object storage
• Must have hands-on experience running GPU workloads on Kubernetes
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail
• Active TS with ability to obtain and maintain SCI
Preferred:
• CENTCOM or DoD experience
• Experience with time slicing GPUs on Kubernetes
• Exposure to computer vision and/or large imagery formats such as NITF
• Publications or GitHub repos showcasing your skills
• Experience with Docker and container orchestration best practices
Company:
Raft develops data integration, AI, and software platforms that support defense, national security, and government mission operations. Founded in 2018, the company is headquartered in Reston, USA, with a team of 201-500 employees. The company is currently Growth Stage.