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Python Ml Developer Jobs in Manassas, VA (NOW HIRING)

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 ...

Apex Systems

ML Engineer

Mclean, VA · On-site

$70 - $75/hr

Strong proficiency in Python * Deep expertise with AWS services, including ECS, EC2, EKS, S3, and ... ML Pipeline Orchestration * CI/CD Automation * Model Monitoring & Governance Programming & Data ...

New

Mindlance

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Strong Python Developer with strong experience in Python development, SQL, and database ... Java proficiency (preferred) , particularly for AI/ML development and automation. Soft Skills:

Pyramid Consulting, Inc.

Python Developer

Mclean, VA · On-site

$65 - $70/hr

Immediate need for a talented Python Developer . This is a 06 Months Contract opportunity with ... Java proficiency (preferred), particularly for AI/ML development and automation. Our client is a ...

Adtech

AI/ML Engineer With DevOps

Ashburn, VA · On-site

$54 - $74/hr

Adtech seeks a motivated, career and customer-oriented AI/ML Engineer . This is currently a hybrid ... Proficiency in Python, Scala and Java with strong understanding of high-performance computing and ...

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 ...

Edge Global

AI/ML with Python and AWS

Reston, VA · On-site

Job Title : AI/ML with Python and AWS Location : Reston, VA (Local Only) Duration : Full Time MOI: Video + In-Person - We are looking for an experienced AI/ML with Python and AWS . The ideal ...

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Python Ml Developer information

See Manassas, VA salary details

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$86

How much do python ml developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python ml developer in Manassas, VA is $58.61, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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 Manassas, VA? For Python Ml Developer jobs in Manassas, VA, the most frequently searched job titles are:
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Python Ml Developer jobs near you

AI/ML Engineer

Interon IT Solutions

Reston, VA • On-site

Contractor

Posted 12 days ago

Job description

#W2 only
 
Job title: AI/ML Engineer 
Location: Reston VA - In person interviews so need Local In EAST coast only​
 
Job Description 
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.