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Hugging Face Jobs in Florida (NOW HIRING)

Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: · 5+ years of experience in AI/ML engineering ...

Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: • 5+ years of experience in AI/ML engineering ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Hugging Face Transformers * CI/CD Pipelines * REST APIs * Linux * Elasticsearch * Data Visualization (Power BI/Tableau) Required Qualifications * Bachelor's or Master's degree in Computer Science ...

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Hugging Face information

See Florida salary details

$6

$11

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How much do hugging face jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for hugging face in Florida is $11.55, according to ZipRecruiter salary data. Most workers in this role earn between $9.71 and $13.65 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Florida? For Hugging Face jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Florida look for? The top searched job categories for Hugging Face jobs in Florida are:
What cities in Florida are hiring for Hugging Face jobs? Cities in Florida with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Florida as of July 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $24,026 per year, or $11.6 per hour.

Technology Lead | IOT Platform | AWS IOT

Spruce Infotech

North Palm Beach, FL • On-site

Full-time

Posted 4 days ago


Job description

Work Location: North Palm Beach, FL 33408
Vendor Rate: XXX
Contract duration: 11months
Target Start Date: 01 Aug 2026
Job Details:
Must Have Skills
Strong knowledge of Machine Learning algorithms and Deep Learning frameworks.
TensorFlow
Scikitlearn
Nice to have skills
Cloud Azure, AWS, GCP
Generative AI OpenAI, LangChain, LlamaIndex, Hugging Face
Detailed Job Description
Develop, train, test, and optimize machine learning and deep learning models.Analyze large datasets to identify patterns, trends, and business insights.Design and implement AI solutions for predictive analytics, automation, recommendation systems, NLP, and computer vision applications.Build and maintain data pipelines for model training and deployment.Deploy AIML models into production environments and monitor performance.Collaborate with data scientists, software developers, and business stakeh
Minimum years of experience
8-10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Deploy AIML models into production environments and monitor performance.
Collaborate with data scientists, software developers, and business stakeholders.
Ensure data quality, security, and compliance with organizational standards.
Interview Process (Is face to face required?)
Yes
Project Code: SOW 468 DevOps flexi Multi Role Support