ZipRecruiter

Log In

1

Home Based Python Machine Learning Jobs in Ashburn, VA

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP ... Develop and integrate Generative AI and LLM-based solutions where applicable. * Work with OpenAI ...

Venturegloballng

Engineer, Machine Learning

Arlington, VA · On-site

$157K - $185K/yr

The company's Louisiana-based export projects service the global demand for North American natural ... Exceptional skills in data processing languages such as SQL, Python, or Scala. * Exceptional skills ...

UNISSANT

Machine Learning Engineer

Ashburn, VA · On-site

Proficiency in Python, R, Java, or similar programming languages used for machine learning and ... Additional technical certifications may be considered based on program requirements. Communication ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Strong programming skills in Python and hands-on experience with deep learning frameworks ... Ability to understand the end-user's mission objectives, iterate based on user feedback, and ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. * Deep ...

next page

Showing results 1-20

All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Ashburn, VA

Home Based Python Machine Learning information

See Ashburn, VA salary details

$13

$59

$88

How much do home based python machine learning jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for home based python machine learning in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Ashburn, VA?

For Home Based Python Machine Learning jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Home Based Python Machine Learning jobs in Ashburn, VA look for?

The top searched job categories for Home Based Python Machine Learning jobs in Ashburn, VA are:

Home Based Python Machine Learning jobs near you

AI/ML Engineer

Mclean, VA • On-site

Virtual Networx
IT Services • 51 - 200 employees
Learn more about Virtual Networxexternal

Other

Re-posted 4 days ago

Job description

Role: AI/ML Engineer
Experience: 10+ Years
Duration: 12 months
Location: MC Lean , VA

Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs

Responsibilities:

  • Design, develop, and deploy Machine Learning and AI solutions for business applications.
  • Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.
  • Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
  • Work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.
  • Develop and integrate Generative AI and LLM-based solutions where applicable.
  • Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures.
  • Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud Platform.
  • Deploy models through REST APIs, Docker, Kubernetes, and cloud platforms.
  • Monitor model performance, data quality, drift, and production issues.
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business stakeholders.
  • Perform model tuning, experimentation, validation, and performance optimization.
  • Implement MLOps practices for CI/CD, model versioning, experiment tracking, and automated deployment.
  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.
  • Document models, architectures, workflows, and technical processes.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • Scikit-learn
  • TensorFlow / PyTorch
  • Pandas / NumPy
  • SQL
  • NLP / Computer Vision as applicable
  • Generative AI / LLM
  • Prompt Engineering
  • RAG
  • Vector Databases
  • REST APIs
  • Docker / Kubernetes
  • Cloud: AWS / Azure / Google Cloud Platform
  • Git
  • MLOps / MLflow

Apply