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Python Ml Developer Jobs in Virginia (NOW HIRING)

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

AI/ML Engineer Experience: 10+ Years Duration: 12 months Location: MC Lean , VA Skills ... Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · On-site

... DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... Python or Linux Shell Script and configuration management tools • 5+ years of experience ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type ... Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Deep ...

Booz Allen Hamilton

AI/ML Engineer

Hampton, VA · Hybrid

As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... as Python or Linux Shell Script and configuration management tools * 5+ years of experience ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... as Python or Linux Shell Script and configuration management tools * 5+ years of experience ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · Hybrid

As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... as Python or Linux Shell Script and configuration management tools * 5+ years of experience ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... as Python or Linux Shell Script and configuration management tools * 5+ years of experience ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core ... Develop high-performance Python microservices (FastAPI/Flask) enabling scalable data pipelines ...

Bloomberg BNA

Web Application Architect, ML

Arlington, VA · On-site

$190K - $230K/yr

... programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques.* Extensive experience in all phases of machine learning application lifecycles ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

Python or R programming languages for AI/ML development. * Deep learning frameworks, such as PyTorch, TensorFlow, or Keras. * Version control systems, such as GitHub. * Cloud computing services from ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

Python or R programming languages for AI/ML development. * Deep learning frameworks, such as PyTorch, TensorFlow, or Keras. * Version control systems, such as GitHub. * Cloud computing services from ...

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Virginia?

For Python Ml Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Virginia look for?

The top searched job categories for Python Ml Developer jobs in Virginia are:

What cities in Virginia are hiring for Python Ml Developer jobs?

Cities in Virginia with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Virginia as of September 2026, with employment types broken down into 2% Internship, 85% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution.

AI/ML Engineer

Mclean, VA • On-site

Virtual Networx
IT Services • 51 - 200 employees
Learn more about Virtual Networxexternal

Other

Re-posted 4 days ago

Job description

Role: AI/ML Engineer
Experience: 10+ Years
Duration: 12 months
Location: MC Lean , VA

Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs

Responsibilities:

  • Design, develop, and deploy Machine Learning and AI solutions for business applications.
  • Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.
  • Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
  • Work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.
  • Develop and integrate Generative AI and LLM-based solutions where applicable.
  • Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures.
  • Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud Platform.
  • Deploy models through REST APIs, Docker, Kubernetes, and cloud platforms.
  • Monitor model performance, data quality, drift, and production issues.
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business stakeholders.
  • Perform model tuning, experimentation, validation, and performance optimization.
  • Implement MLOps practices for CI/CD, model versioning, experiment tracking, and automated deployment.
  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.
  • Document models, architectures, workflows, and technical processes.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • Scikit-learn
  • TensorFlow / PyTorch
  • Pandas / NumPy
  • SQL
  • NLP / Computer Vision as applicable
  • Generative AI / LLM
  • Prompt Engineering
  • RAG
  • Vector Databases
  • REST APIs
  • Docker / Kubernetes
  • Cloud: AWS / Azure / Google Cloud Platform
  • Git
  • MLOps / MLflow

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