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

Senior AI/ML Engineer

Herndon, VA ยท On-site +1

$107K - $147K/yr

Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain) * Good understanding of Document Processing, classifcation, data extraction is a must * Knowledge ...

They are seeking an experienced AI/ML engineer to work across the full analytical workflow--from ... with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial ...

... Python) โ€ข Knowledge of ML frameworks (e.g., TensorFlow) โ€ข Ability to preprocess and analyze datasets โ€ข Expertise in supervised and unsupervised learning โ€ข Familiarity with cloud-based AI ...

... Python) โ€ข Knowledge of ML frameworks (e.g., TensorFlow) โ€ข Ability to preprocess and analyze datasets โ€ข Expertise in supervised and unsupervised learning โ€ข Familiarity with cloud-based AI ...

Senior AI/ML Engineer

Herndon, VA ยท On-site

$107K - $147K/yr

Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain) * Good understanding of Document Processing, classifcation, data extraction is a must * Knowledge ...

Develop production-oriented software in Python and other languages as needed by the mission and ... ML engineering experience * Strong software development experience with expertise in Python

AI/ML Engineer

Herndon, VA ยท On-site

$104K - $166K/yr

Develop production-oriented software in Python and other languages as needed by the mission and ... ML engineering experience * Strong software development experience with expertise in Python

Senior AI/ML Engineer

Herndon, VA ยท On-site

$107K - $147K/yr

Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain) * Good understanding of Document Processing, classifcation, data extraction is a must * Knowledge ...

AI/ML Engineer

Herndon, VA ยท On-site

$104K - $166K/yr

Develop production-oriented software in Python and other languages as needed by the mission and ... ML engineering experience * Strong software development experience with expertise in Python

AI/ML Engineer

Herndon, VA ยท On-site

$135K - $216K/yr

Develop production-oriented software in Python and other languages as needed by the mission and ... ML engineering experience * Strong software development experience with expertise in Python

AI/ML Engineer

Herndon, VA ยท On-site

$135K - $216K/yr

Develop production-oriented software in Python and other languages as needed by the mission and ... ML engineering experience * Strong software development experience with expertise in Python

AI/ML Engineer

Herndon, VA ยท On-site

$135K - $216K/yr

Develop production-oriented software in Python and other languages as needed by the mission and ... ML engineering experience * Strong software development experience with expertise in Python

AI/ML Engineer - ACG / AEA

Springfield, VA ยท On-site

$155K - $165K/yr

Integrate ML components into existing DevSecOps pipelines (Azure DevOps, CI/CD workflows ... Strong experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn). * Experience ...

AI/ML Platform Engineer

Sterling, VA ยท Hybrid

$152K - $205K/yr

Artificial Intelligence (AI), Large Language Models (LLMs), PostgreSQL, Python (Programming ... Yes AI/ML ENGINEER PRINCIPAL Own your opportunity to turn data into measurable outcomes for our ...

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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 13, 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.

AI/ML Engineer - LLM & AWS Integration

Cliff Services Inc

Reston, VA โ€ข On-site

$108K - $145K/yr

Other

Re-posted 4 days ago


Job description

Role: AI/ML Engineer LLM & AWS Integration

Client Location: Reston, VA (Candidates come for in-person interview at Herndon, VA)

Work Mode: 5 days onsite (No remote/hybrid exceptions)

Interview Mode: L1 F2F & L2 Virtual

Must Have Skills

We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the development and optimization of AI solutions, large language models (LLMs), and cloud infrastructure. You will collaborate closely with business stakeholders to design, build, and refine intelligent systems that leverage cutting-edge technologies.

Key Responsibilities

Collaborate with business teams to understand requirements and translate them into ML models and prompt-based solutions.

Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.

Optimize and adapt prompt engineering strategies to improve model performance and relevance.

Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda, and other AI/ML-related services.

Build and maintain scalable data pipelines and APIs to support ML workflows.

Monitor model performance and iterate based on feedback and metrics.

Stay current with advancements in AI/ML and cloud technologies to ensure solutions remain cutting-edge.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

3+ years of experience in Machine Learning, Data Science, or AI Engineering.

Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.

Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda.

Familiarity with MLOps practices and tools for model deployment and monitoring.