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Home Based Python Machine Learning Jobs in District of Columbia

Proficiency in Python and the Python Data Stack, including pandas, NumPy, scikit-learn, PyTorch ... Machine Learning Engineering Leadership * Production Deployment Experience * Python Proficiency

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Strong Python skills and experience with ML frameworks such as PyTorch or JAX. * Hands-on ... Bonus : Performance-based annual bonus * Professional Development : Support for conferences ...

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 ...

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 ...

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 ...

... Python * develop services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio * translate and optimize Machine Learning models, and report on Machine Learning ...

Posted today

Required : • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar ... Python; familiarity with ML frameworks such as PyTorch or TensorFlow. • Deep knowledge of ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Engineer

Washington, DC · On-site

$77K - $176K/yr

Experience with Python coding * Experience with deep learning, LLMs, computer vision, or generative ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Important Skills * Several years of experience with Python and machine learning frameworks ... Technology home office setup stipend * Professional certification reimbursement (position dependent ...

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Home Based Python Machine Learning information

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 the most commonly searched types of Python Machine Learning jobs in District of Columbia?

The most popular types of Python Machine Learning jobs in District of Columbia are:

What cities in District of Columbia are hiring for Home Based Python Machine Learning jobs?

Cities in District of Columbia with the most Home Based Python Machine Learning job openings:

Infographic showing various Home Based Python Machine Learning job openings in District of Columbia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Phase2 Technology

Washington, DC • On-site

$77.60 - $176/hr

Other

Posted 15 days ago


Job description

Job Number: R0241353

The Opportunity

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer‑focused solution. We need your technical knowledge and desire to problem‑solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll own and define the direction of mission‑critical solutions by implementing AI that enables faster mission success. You'll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world‑class solutions to implement a wide variety of AI use cases.

Work with us to solve real‑world challenges and define AI strategy for national security.

Join us. The world can't wait.

Required Qualifications
  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
  • Experience with Python coding and libraries, including scikit‑learn, TensorFlow, or PyTorch
  • Experience with developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • Secret clearance
  • Bachelor's degree
Preferred Qualifications
  • Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
  • Experience with supervised and unsupervised learning
  • Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis
  • Ability to create software for retrieving, parsing, and processing structured and unstructured data
  • Master's degree
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Salary: $77,600 – $176,000 annually, based on factors such as location, education, skills, and experience. This posting will close within 90 days from the posting date.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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