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Huggingface Jobs in Florida (NOW HIRING)

Accenture

Cleared AI/ML Engineer

Tampa, FL

$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 ...

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See Florida salary details

$7

$20

$49

How much do huggingface jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for huggingface in Florida is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $12.06 and $24.51 per hour, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Huggingface jobs in Florida? The most popular types of Huggingface jobs in Florida are:
What are popular job titles related to Huggingface jobs in Florida? For Huggingface jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Huggingface jobs in Florida look for? The top searched job categories for Huggingface jobs in Florida are:
Huggingface jobs near you
Infographic showing various Huggingface job openings in Florida as of June 2026, with employment types broken down into 28% Full Time, 32% Part Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $43,646 per year, or $21 per hour.
Applied AI Engineer

Applied AI Engineer

RICEFW Technologies, Inc.

Orlando, FL • On-site

Contractor

Posted 20 days ago

Job description

Title:- Applied AI Engineer
Location:- Orlando, FL(Onsite)
Long Term Contract
Required Skills & Experience:
  • 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
  • Strong experience in Python Development
  • Solid hands-on experience with FastAPI, Flask, or Django REST frameworks
  • Strong knowledge of RESTful APIs, microservices, and asynchronous programming
  • Familiarity with vector databases and RAG workflows
  • Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines

Apply