ZipRecruiter

Log In

1

Python Ai Jobs in Virginia (NOW HIRING)

1 point system

AI/ML Engineer

Reston, VA · On-site

Must Have Skills: * Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation ...

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

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 ...

New

TiltEdge Solutions LLC

Python Developer

West Mclean, VA · On-site

$65 - $70/hr

Experience integrating AI or machine learning models into data pipelines or applications. * Familiarity with Python-based machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. * 2+ ...

Ampcus Inc

Sr. Python Developer

Richmond, VA · On-site

$118K - $160K/yr

They are in search of a highly motivated Sr. Python Developer who will be involved in design ... specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics ...

NSS

Full Stack Python Developer

Leesburg, VA

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 ...

Hexaware Technologies, Inc

AI Engineer

Reston, VA · On-site

Position Summary We are seeking an AI Engineer to support model transformation initiatives focused ... The ideal candidate is a hands-on engineer with strong Python backend development skills, practical ...

CACI International, Inc.

Python Developer

Chantilly, VA · On-site

$103K - $218K/yr

  • Medical

  • Retirement

  • PTO

Python Developer Job Category: Information Technology Time Type: Full time Minimum Clearance ... AI-assisted development Knowledge of Cloud computing concepts and AWS Working experience with ...

previous page

Showing results 41-60

All JobsPython Ai JobsPython Ai Jobs in Virginia

Python Ai information

See Virginia salary details

$13

$58

$85

How much do python ai jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python ai in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What are the most commonly searched types of Python Ai jobs in Virginia? The most popular types of Python Ai jobs in Virginia are:
What are popular job titles related to Python Ai jobs in Virginia? For Python Ai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Ai jobs in Virginia look for? The top searched job categories for Python Ai jobs in Virginia are:
Python Ai jobs near you
Infographic showing various Python Ai job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% In-person job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

AI/ML Engineer

1 point system

Reston, VA • On-site

Contractor

Re-posted 23 days ago

Job description

Must Have Skills: 

  • Core Responsibilities (AI/ML, Python, AWS, GenAI)
  • Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
  • Build and maintain cloud‑native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
  • Develop high‑performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real‑time analytics.
  • Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection).
  • Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure‑as‑code (Terraform/CloudFormation) for reliable, automated deployments.
  • Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.