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Machine Learning Engineer Python Jobs in Fairfax, VA

Phase2 Technology

Machine Learning Engineer

Washington, DC · On-site

$77.60 - $176/hr

As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ... Experience with Python coding and libraries, including scikit‑learn, TensorFlow, or PyTorch

New

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

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 ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77.60 - $176/hr

Machine Learning Engineer As an experienced AI and ML engineer, you will train, test, deploy, and ... Experience coding with Python, C++, Rust, or Java. * Hands‑on experience with deep learning ...

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 ...

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Machine Learning Engineer Python information

See Fairfax, VA salary details

$23.5K

$143.1K

$207K

How much do machine learning engineer python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning engineer python in Fairfax, VA is $143,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $168,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
What are popular job titles related to Machine Learning Engineer Python jobs in Fairfax, VA? For Machine Learning Engineer Python jobs in Fairfax, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Fairfax, VA look for? The top searched job categories for Machine Learning Engineer Python jobs in Fairfax, VA are:
What cities near Fairfax, VA are hiring for Machine Learning Engineer Python jobs? Cities near Fairfax, VA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you

Machine Learning Engineer

Phase2 Technology

Washington, DC • On-site

$77.60 - $176/hr

Other

Posted 3 days ago

New

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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