1

Hugging Face Jobs in Denver, CO (NOW HIRING)

... Hugging Face • RAG systems and vector databases • Pinecone • FAISS • MLOps Systems • MLflow • model registry • CICD pipelines • Experiment tracking and automated testing • ...

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent)

Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale ...

Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale ...

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.

Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications. * Strong knowledge of RAG techniques, vector databases (e.g.

Hugging Face information

See Denver, CO salary details

$9

$15

$21

How much do hugging face jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for hugging face in Denver, CO is $15.91, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $18.80 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 Denver, CO?

For Hugging Face jobs in Denver, CO, the most frequently searched job titles are:

What cities near Denver, CO are hiring for Hugging Face jobs?

Cities near Denver, CO with the most Hugging Face job openings:

Infographic showing various Hugging Face job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $33,092 per year, or $15.9 per hour.

Generative AI Developer

eTeam

Denver, CO • On-site

Full-time

Re-posted 22 days ago


Job description

Job Summary:
eTeam is a company looking for a Generative AI Developer. The role involves strong Python development and experience with various AI and machine learning frameworks, focusing on deploying models and managing MLOps systems.
Responsibilities:
• Strong Python development
• FastAPI
• ML libraries
• ML frameworks
• PyTorch
• TensorFlow
• Scikitlearn
• GenAI stack
• OpenAI
• Claude
• LLaMA
• Hugging Face
• RAG systems and vector databases
• Pinecone
• FAISS
• MLOps Systems
• MLflow
• model registry
• CICD pipelines
• Experiment tracking and automated testing
• Deployment patterns
• batch real-time inference
• Data APIs
• SQL
• REST
• SOAP APIs
• Experience with enterprise systems SAP, Client, etc.
Qualifications:
Required:
• Strong Python development
• FastAPI
• ML libraries
• ML frameworks
• PyTorch
• TensorFlow
• Scikit-learn
• GenAI stack
• OpenAI
• Claude
• LLaMA
• Hugging Face
• RAG systems
• vector databases
• Pinecone
• FAISS
• MLOps Systems
• MLflow
• model registry
• CICD pipelines
• Experiment tracking
• automated testing
• Deployment patterns
• batch real-time inference
• Data APIs
• SQL
• REST
• SOAP APIs
• Minimum years of experience: 8 years
• Education: Bachelor's or Master of Engineering
Preferred:
• Experience with enterprise systems SAP, Client, etc.
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.