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

System One

AI/ML Engineer

Mclean, VA · Remote

The ideal candidate combines strong Python software engineering skills with hands-on experience building scalable AI/ML applications using large, complex structured and unstructured datasets.

System One

AI/ML Engineer

Mclean, VA · Remote

The ideal candidate combines strong Python software engineering skills with hands-on experience building scalable AI/ML applications using large, complex structured and unstructured datasets.

System One

AI/ML Engineer

Mclean, VA · Remote

The ideal candidate combines strong Python software engineering skills with hands-on experience building scalable AI/ML applications using large, complex structured and unstructured datasets.

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:

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 ...

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Python Ml Developer information

See Fairfax, VA salary details

$13

$59

$88

How much do python ml developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for python ml developer in Fairfax, VA is $59.92, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.08 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.

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

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.

What are popular job titles related to Python Ml Developer jobs in Fairfax, VA?

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What job categories do people searching Python Ml Developer jobs in Fairfax, VA look for?

The top searched job categories for Python Ml Developer jobs in Fairfax, VA are:

What cities near Fairfax, VA are hiring for Python Ml Developer jobs?

Cities near Fairfax, VA with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Fairfax, VA as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $124,635 per year, or $59.9 per hour.

Web Application Architect, ML

Bloomberg Industry Group

Arlington, VA • On-site

$190K - $230K/yr

Full-time

Posted 23 days ago

Job description

A senior Machine Learning Engineer who will innovate and deliver valuable AI and ML solutions for our customers. Responsible for the design, development, integration, delivery, and support of complex ML solutions, this individual must be a self-directed professional. In addition to a depth of ML and AI knowledge they must possess excellent communication, leadership, and influencing abilities with a demonstrated ability to guide technical direction across multiple teams.

What you will do:

  • Architect, design and develop machine learning prediction models to address business challenges, adhering to INDG best practices with integration of AWS services.

  • Collaborate with domain experts and product managers to understand business needs and map business problems to ML solutions while.

  • Learn groundbreaking research in advanced ML topics to solve complex problems quickly.

  • Act as the principal point-of-contact for ML projects and provide technical guidance and mentoring to junior team members.

  • Design and guide feature design and implementation of features for the entire team and deliver solutions for cross-team initiatives.

  • Use metrics to make data-driven decisions.

  • Write and maintain production-quality code.

  • Participate in special projects and perform other duties as assigned.

You need to have:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related STEM field or Bachelor's degree in any subject with a Master's degree or higher in a STEM field required.

  • 5+ years of software development experience and/or commensurate skills building commercial and ML applications.

  • 5+ years' experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques.

  • Extensive experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.

Compensation Range:

$190,000.00-$230,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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