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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 ...

SES

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Systems Engineering Services is seeking an AI/Python Developer with a Java Certification based out ... ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and ...

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 ...

System One

AI/ML Solutions Architect

Mclean, VA · On-site

Minimum EIGHT (8) years in solutions architecture, software engineering, data engineering, and/or applied ML with a track record of delivering production systems. * Strong Python proficiency and ...

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, 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

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 ...

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 ...

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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 August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Full Stack Python Developer with Security Clearance

Nicholson Strategic Solutions

Herndon, VA • On-site

Contractor

Re-posted 25 days ago

Job description

What You’ll Do:
Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. This role partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users. Responsibilities will include but are not limited to:
Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.
What You’ll Need:
Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.
Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.
Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.
Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.
Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.

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