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Hugging Face Jobs in Washington (NOW HIRING)

AI Analytic Software Engineer-Senior

Annapolis, MD · On-site

$121K - $159K/yr

Proficiency with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo, or similar tools. * Experience with the following tech stack: * PySpark * Jupyter Notebooks

We care about what you've shipped, not just what you've studied. • Strong Python and hands-on experience with modern ML and LLM tooling (PyTorch, Hugging Face, or similar). • Production ...

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.). * Familiarity with DoD and Federal records management policies , including metadata standards.

Data Scientist - CBP

Washington, DC · On-site

$120K - $145K/yr

Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy, NetworkX), R, SQL ML / MLOps: MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Weights & Biases, DVC ...

Data Scientist

Mclean, VA

$107K - $195K/yr

Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow). * Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of ...

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow). * Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of ...

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Hugging Face information

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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 Washington is $17.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $20.67 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 Washington? For Hugging Face jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Hugging Face jobs? Cities in Washington with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $36,414 per year, or $17.5 per hour.

AI Engineer

D. Kent Consulting Group, LLC

Springfield, VA • On-site

$100/hr

Part-time

Posted 29 days ago


Job description

About the Role: 
 
Make an Impact in Federal AI — Without a Full-Time Commitment
DKC Group is seeking a seasoned AI SME / AI Systems Engineer to support federal clients as they evaluate, design, and implement practical AI solutions in mission environments. This role is ideal for an experienced AI professional who wants to apply deep technical and federal market expertise in a flexible, half-time role with an expected commitment of 40 hours or less per month. If you understand how to translate mission needs into AI use cases, technical approaches, and implementation strategies and you are comfortable advising in federal environments-- we would like to hear from you. 
 Responsibilities: 
  • Design, develop, and deploy machine learning models and AI-powered applications
  • Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
  • Build and maintain data pipelines, model training workflows, and inference systems
  • Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
  • Monitor model performance, conduct testing, and iterate on improvements
  • Document technical architectures, methodologies, and best practices
  • Stay current with AI/ML research and translate advancements into practical applications
Requirements:
  •  Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
  • Proven experience in machine learning, deep learning, or AI engineering
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face)
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders
Preferred
  • Master’s degree in a related field
  • Federal AI strategy, digital transformation, or data modernization experience
  • Familiarity with Responsible AI and AI governance
  • Consulting experience supporting government clients
Why This Role
  • Flexible part-time commitment
  • High-impact federal mission work
  • Opportunity to apply senior AI expertise in a strategic advisory capacity
  • Work with a women-owned small business supporting complex government environments
 Apply Today
Please submit your resume and a brief summary of your relevant federal AI experience. 
 
About Us:
 
DKC Group, is a Maryland based consulting firm dedicated to delivering innovative, technology-driven solutions to our clients. We pride ourselves on a culture of collaboration, continuous learning, and excellence that keeps both our clients and our team members coming back. At D. Kent Consulting Group, you'll find a dynamic environment where your ideas are valued, and your career can truly thrive.