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Python Ml Developer Jobs in Virginia (NOW HIRING)

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 ...

SES

Python/Gen AI 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 ...

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

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 ...

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 ...

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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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 July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Senior AI/ML Developer with TS/SCI + Polygraph

Senior AI/ML Developer with TS/SCI + Polygraph

Aperio Global

Mclean, VA • On-site

$97K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

How We're Different
We believe the highest-impact work in national security and technology is a team sport. At Aperio Global, we operate as a single, cohesive force aligned on a handful of mission-critical efforts where our work truly moves the needle. We don't chase small wins. We solve for next.
We view the intersection of cybersecurity, artificial intelligence, and data analytics as an empirical discipline as rigorous and consequential as any field in science or engineering. That means we bring intellectual honesty, accountability, and transparency to every problem we take on. Our team includes tech innovators, Intelligence Community veterans, and security professionals who know that the best solutions come from diverse minds working toward a common mission. We value our people, those working quietly behind the scenes, doing the hard work that keeps our nation secure.
The best way to understand how we think is to see what we've built. From full-spectrum cyber operations and de-biased AI platforms to quantum networking and cloud-native software systems, our work speaks for itself.
Come solve with us
We offer competitive compensation and a comprehensive benefits package - including medical, dental, and vision coverage, a 401(k) retirement plan, life insurance, generous paid time off, short and long-term disability, professional development, and much more. We invest in our people because they are our most important asset - and because the mission demands the best.
Aperio Global is looking for a Senior AI/ML Developer to join an R&D team in McLean, VA focused on prototyping and evaluating emerging AI technologies. This is a hands-on engineering role in a fast-paced, experimentation-driven environment where you'll design, build, and iterate on cutting-edge solutions using Retrieval-Augmented Generation (RAG), large language models (LLMs), and modern data infrastructure.
You won't be maintaining legacy systems or sitting in status meetings. You'll be figuring out what works, documenting what doesn't, and helping shape how the team approaches complex technical challenges with AI.
Key Responsibilities
  • Design, develop, and prototype solutions leveraging RAG architectures, LLMs, and emerging AI/ML technologies
  • Build and iterate on proof-of-concept applications to evaluate and demonstrate new AI capabilities
  • Design, develop, and integrate RESTful APIs to enable data retrieval and exchange across systems
  • Own data modeling, querying, and performance optimization in PostgreSQL for AI/ML contexts
  • Collaborate with researchers and engineers to evaluate approaches, document results, and recommend technical next steps
  • Share insights and findings to support team-wide knowledge growth in AI/ML advancements

Minimum Qualifications
  • Active TS/SCI clearance with polygraph (required at time of application)
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; equivalent professional experience may substitute
  • 8+ years of relevant technical experience in software engineering and AI/ML development
  • Expert-level Python programming skills applied to machine learning and NLP systems
  • Hands-on experience designing and implementing RAG pipelines and LLM-based solutions
  • Demonstrated experience with large language models (LLMs), including prompt engineering, model evaluation, and transformer architectures
  • Experience designing and integrating RESTful APIs for data exchange and system integration
  • Deep expertise with PostgreSQL including schema design, complex querying, and performance tuning
  • Cloud infrastructure experience on AWS, GCP, or Azure including deploying and testing AI prototypes.

Preferred Qualifications
  • Experience with vector databases such as pgvector, Pinecone, Weaviate, or Chroma to support semantic search and AI/ML workflows
  • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack
  • Background or interest in geospatial data, systems, or analytic tools (e.g., PostGIS, GDAL)
  • Experience developing or maintaining data pipelines, ETL workflows, or orchestration tools such as Airflow or Prefect
  • Familiarity with MLOps practices including model deployment, versioning, and monitoring
  • Background or interest in working with geospatial data, systems, or analytic tools.
    Experience developing or maintaining data pipelines and utilizing vector databases to support AI/ML workflows.

Salary range is dependent on experience level: 200k-240k
The salary range for this role represents Aperio's good-faith estimate of compensation at the time of posting. Placement within the range is based on multiple factors, including but not limited to an individual's qualifications, relevant experience, education, certifications, technical skills, contract labor categories and/or rates, work location, market conditions, and business needs.
Benefits
At Aperio Global, we understand the value of investing in our most important asset-our employees. That's why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team.
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with 100% employer match up to 6%
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Professional Development
  • (and much more)

Aperio Global is an equal opportunity employer. We are committed to building an inclusive workforce where all employees and applicants are treated with respect and fairness. Employment decisions are based solely on qualifications, merit, and business needs - never on race, color, religion, sex, national origin, age, disability, genetic information, military or veteran status, pregnancy/childbirth, sexual orientation, gender identity, marital status, ethnicity, or any other characteristic protected by applicable federal, state, or local law.

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