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Home Based Python Machine Learning Jobs in Reston, VA

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Machine Learning Engineer

Reston, VA · On-site

Strong proficiency in programming languages such as Python, R, or Java. * Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Solid ...

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 ...

GEICO

Machine Learning Engineer II

Bethesda, MD · On-site

$105K - $215K/yr

Cloud-based environments and familiarity with containerization and orchestration tools; Building ... Python; ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices ...

Geico

Machine Learning Engineer II

Bethesda, MD · Hybrid

$105K - $215K/yr

Cloud-based environments and familiarity with containerization and orchestration tools; Building ... Python; ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices ...

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 ...

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 ...

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 ...

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

As of Jul 9, 2026, the average hourly pay for home based python machine learning in Reston, VA is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.28 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 Reston, VA? For Home Based Python Machine Learning jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Reston, VA look for? The top searched job categories for Home Based Python Machine Learning jobs in Reston, VA are:
What cities near Reston, VA are hiring for Home Based Python Machine Learning jobs? Cities near Reston, VA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you

Machine Learning Engineer

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Reston, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title:Machine Learning Engineer
Location:Fort Meade, MD
Required Clearance: TS/SCI w/ Full-Scope Poly
Salary:Competitive
We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will work closely with data scientists, engineers, and product managers to design, develop, and deploy machine learning models and solutions that drive business value.
Key Responsibilities:
  • Design, develop, and implement machine learning models and algorithms to solve real-world problems.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct data analysis and preprocessing to ensure high-quality data for model training.
  • Optimize and fine-tune models for performance, accuracy, and scalability.
  • Deploy machine learning models into production and monitor their performance.
  • Develop and maintain machine learning pipelines and infrastructure.
  • Stay current with the latest research and advancements in machine learning and AI.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document processes, models, and findings comprehensively.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Solid understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Experience with data processing tools like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Experience with natural language processing (NLP) and computer vision.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of software development best practices and version control systems like Git.
  • Experience with containerization tools like Docker and orchestration tools like Kubernetes.
  • Previous experience in a fast-paced, startup environment.

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