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Home Based Python Machine Learning Jobs in Alexandria, VA

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 +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 ...

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

Home Based Python Machine Learning information

See Alexandria, VA salary details

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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 Alexandria, VA is $62.74, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $71.25 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 Alexandria, VA? For Home Based Python Machine Learning jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Alexandria, VA look for? The top searched job categories for Home Based Python Machine Learning jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Home Based Python Machine Learning jobs? Cities near Alexandria, VA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

AI Squared

Washington, DC • On-site

Full-time

Posted 29 days ago

Job description

Machine Learning Engineer
Washington, DC (Hybrid)
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
  • Design, implement, and maintain ML deployment pipelines for scalable production systems.
  • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
  • Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
  • Partner with data scientists to transition models from research/prototype into production-ready deployments.
  • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
  • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
  • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
  • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.

Qualifications:
  • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
  • Proven experience deploying and maintaining machine learning models in production at scale.
  • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
  • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
  • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
  • Strong understanding of MLOps best practices, monitoring, and automation.
  • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
  • Strong communication and collaboration skills across technical and non-technical teams.

Apply