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Huggingface Jobs in Florida (NOW HIRING)

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

PyTorch, HuggingFace) and a demonstrated passion for leveraging AI and engineering excellence to make big impact in quantitative finance. Bonus Points * Experience working across the entire product ...

Senior Software Engineer

Fort Lauderdale, FL · On-site

$116K - $153K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

HuggingFace API, Voice AI, Conversational AI * MCP servers for enterprise integration Collaboration Tools * GitHub, GitLab, Bitbucket, Swagger, Postman, JIRA, Confluence * Preferred Qualifications

Principal AI Engineer - Vice President

Tampa, FL · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem). * Engineer prompts, system instructions, and reusable prompt templates ...

Principal AI Engineer - Vice President

Tampa, FL · On-site

$125.60 - $188.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem). * Engineer prompts, system instructions, and reusable prompt templates ...

AI/ML Engineer

Tampa, FL · On-site

$108K - $185K/yr

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

AI/ML Engineer

Tampa, FL · Hybrid

$108K - $185K/yr

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

AI/ML Engineer

Tampa, FL · On-site

$108K - $185K/yr

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our ...

Cleared AI/ML Engineer

Tampa, FL · On-site

$108K - $185K/yr

Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...

Huggingface information

What is a Huggingface job?

A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.

What does a typical day look like for an engineer working at Hugging Face?

As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.

What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?

To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.

What are the most commonly searched types of Huggingface jobs in Florida?

The most popular types of Huggingface jobs in Florida are:

Infographic showing various Huggingface job openings in Florida as of August 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Re-posted 26 days ago


Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIsAzure, LLM APIs, AI agent frameworks, LangChain, AutoGen, Semantic Kernel, cloud services, vector databases, RAG workflows

job Description : 

Role: Backend Python Developer – AI/ML

Orlando preferable, Las Vegas possible (Onsite)

Required Skills & Experience:

  • 5+ years of experience as a Python backend developer
  • Solid hands-on experience with FastAPI, Flask, or Django REST frameworks
  • Strong knowledge of RESTful APIs, microservices, and asynchronous programming
  • Hands n Experience with Azure 
  • Experience integrating LLM APIs (OpenAI, HuggingFace Inference API, etc.) into real-world applications
  • Experience with AI agent frameworks such as LangChain, AutoGen, or Semantic Kernel
  • Proven ability to deploy containerized apps using Docker, including LLM inference services and agent-based tools
  • Familiarity with vector databases and RAG workflows
  • Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines