1

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

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 ...

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 ...

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 ...

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 ...

AI/ML Engineer

Reston, VA · On-site

$175K - $220K/yr

Our AI/ML Engineer is the core mission specialist who develops, implements, and deploys innovative ... Strong software engineering skills in Python for model development, training, inference, and ...

next page

Showing results 1-20

Python Ml Developer information

See Gainesville, VA salary details

$13

$57

$85

How much do python ml developer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for python ml developer in Gainesville, VA is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.77 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 Gainesville, VA? For Python Ml Developer jobs in Gainesville, VA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Gainesville, VA look for? The top searched job categories for Python Ml Developer jobs in Gainesville, VA are:
What cities near Gainesville, VA are hiring for Python Ml Developer jobs? Cities near Gainesville, VA with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Gainesville, VA as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, 1% Temporary, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $120,394 per year, or $57.9 per hour.

Full Stack AI/ML Developer with Security Clearance

ClearanceJobs Workforce Solutions

Chantilly, VA • On-site

Other

Posted 10 days ago


Job description

ClearanceJobs is actively seeking a Full Stack AI/ML Engineer for our client, a growing technology company supporting national security missions. ClearanceJobs is the largest career network for professionals with federal government security clearances, connecting cleared talent with the opportunities that matter most. We are committed to matching top-tier candidates with clients who depend on mission-focused professionals to support national security, defense, and intelligence community initiatives. Our team works closely with hiring managers to understand their needs and deliver candidates who are not only technically qualified but cleared and ready to contribute from day one. Responsibilities will include, but are not limited to: Design and build a browser-based interface for configuring, launching, and monitoring multi-agent AI workflows within classified workspaces, using React/Next.js with accessibility and audit-trail-aware UX
Build FastAPI backend services extending a core coordination platform: tool endpoints, workspace management APIs, agent configuration APIs, and mission-specific integrations, including full API contract ownership (OpenAPI, versioning, SDK generation)
Integrate production LLM APIs (Claude, Titan, and air-gapped model endpoints) into application workflows with streaming, error handling, and retry logic; build prompt management and versioning systems with injection-detection middleware
Build RAG-powered knowledge interfaces and agent evaluation/scoring tools — retrieval quality dashboards, hallucination flagging, human-in-the-loop review workflows, and full audit/replay of agent decisions
Own ML pipeline infrastructure: evaluation pipelines against ground-truth datasets, feedback capture, fine-tuning data curation, vector database operations, and model comparison/promotion tooling
Design mission-operator-appropriate UX (information density, explainability, degraded-connectivity support) with Section 508 accessibility and DoD data-marking compliance Minimum Qualifications: Active TS/SCI clearance required Day 1; U.S. citizenship required
5+ years of full stack development with production ownership of both frontend and backend systems
React/Next.js proficiency: component architecture, state management, SSR/SSG trade-offs
Python backend development (FastAPI or equivalent), async patterns, REST/WebSocket API design
PostgreSQL and real-time UI patterns (SSE, WebSocket, Redis-backed state)
Production LLM integration experience: streaming, tool use/function calling, structured output parsing
RAG pipeline experience: chunking, embedding, vector search, retrieval evaluation
ML evaluation methodology: train/test splits, metrics selection, avoiding evaluation leakage
DoD 8570/8140 IAT Level II (Security+ or equivalent) required, or willingness to obtain within 90 days
Working knowledge of OWASP Top 10 and secure coding practices in Python/TypeScript Preferred Qualifications: TypeScript proficiency; tRPC or GraphQL experience
AWS Certified Developer – Associate or AWS Certified Machine Learning – Specialty
Fine-tuning experience (LoRA/QLoRA, PEFT) and familiarity with self-hosted inference (vLLM, Ollama, TGI) for air-gapped environments
Familiarity with the Model Context Protocol (MCP) — building an MCP client or tool is a strong differentiator
Prior experience building software for DoD, IC, or federal civilian environments
Experience with D3.js or similar for complex mission dashboards Clearance Requirements: Active TS/SCI required and verifiable at application; CI or Full-Scope Polygraph preferred
U.S. citizenship required; must be willing to work in SCIF environments as mission requires Location: Remote (CONUS)
SCIF access required as mission dictates — occasional on-site presence should be expected Physical Requirements:
This position requires the ability to remain in a stationary position for extended periods of time, operate standard office equipment such as a computer, keyboard, and telephone, and occasionally move about the work environment. Must be able to communicate in writing and verbally with sufficient clarity to convey technical information. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.