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Home Based Python Machine Learning Jobs in Ashburn, VA

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or ... Bonus : Performance-based annual bonus * Professional Development : Support for conferences ...

Ai Squared

Machine Learning Engineer

Washington, DC

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 ...

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 ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or ... Bonus : Performance-based annual bonus * Professional Development : Support for conferences ...

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

AI Squared

Machine Learning Engineer

Washington, DC

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 ...

Cymertek

Machine Learning Engineer

Tysons, VA

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Chantilly, VA

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Vienna, VA

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Chantilly, VA

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Reston, VA

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Reston, VA

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

... based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R ...

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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 Jun 20, 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:
What cities near Ashburn, VA are hiring for Home Based Python Machine Learning jobs? Cities near Ashburn, VA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Ashburn, VA as of June 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $124,689 per year, or $59.9 per hour.

Machine Learning Engineer

10a Labs

Washington, DC • On-site, Remote

$130K - $200K/yr

Other

Medical, Dental, Vision, PTO

Posted 16 days ago

Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
About the Role:
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and intelligence applications.
This role spans the full ML lifecycle, from dataset development and experimentation to model training, evaluation, deployment, and monitoring. You will work both independently and collaboratively across projects involving multimodal classification systems, frontier model evaluations, model distillation research, and agentic workflows. The ideal candidate combines strong engineering fundamentals with a research mindset and enjoys tackling ambiguous, high-impact problems at the frontier of AI.
You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies.
Responsibilities may include:
  • Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains.
  • Develop and improve classification systems for safety, security, abuse detection, and intelligence applications.
  • Conduct experiments to benchmark, evaluate, and compare AI models, including large language models and multimodal systems.
  • Contribute to model distillation, optimization, and fine-tuning efforts to improve performance, efficiency, and deployability.
  • Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safety.
  • Build agentic systems and automated workflows for evaluation, red teaming, research, and large-scale experimentation.
  • Own ML projects from initial research and prototyping through production deployment and monitoring.
  • Partner with software engineers to productionize ML systems and support ongoing improvements.
  • Provide technical expertise and guidance across client engagements and internal research initiatives.
We're looking for someone who:
  • Brings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration;
  • Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion;
  • Communicates technical concepts clearly to both technical and non-technical audiences;
  • Is resourceful, proactive, and comfortable operating in a fast-moving startup environment.
  • Is excited about developing novel approaches that advance the state of AI safety, evaluation, and security.
Requirements:
  • 3-5+ years of professional experience building and deploying machine learning systems.
  • Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or TensorFlow
  • Experience working across multiple modalities, with expertise in one or more of:
    • Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas.
    • Natural Language Processing: LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic applications, or related areas.
  • Experience training, fine-tuning, evaluating, and deploying machine learning models in production environments.
  • Experience designing evaluation methodologies, benchmarking systems, and model performance metrics.
  • Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
  • Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ML infrastructure, workflow orchestration, storage, and database services.
  • Familiarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferred.
Preferred:
Experience working with frontier language models, multimodal foundation models, or AI safety evaluations.Prior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or related domains.Experience with retrieval-augmented generation (RAG), AI agent frameworks, and context orchestration systems such as LangChain, LlamaIndex, OpenAI Agents, or AutoGen.
Compensation:
  • Salary Range: $130K-$200K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage

Time Off: Generous PTO and paid holiday schedule

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