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Remote Python Machine Learning Jobs in Maryland (NOW HIRING)

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

We are applying artificial intelligence, machine learning, and natural language processing to ... Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g.

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... Design test cases and write python/SQL scripts to validate data integrity and identify gaps and ...

INDEX ANALYTICS LLC

Data Scientist

Windsor Mill, MD · On-site +1

This role emphasizes end-to-end development of machine learning and AI systems, including ... Advanced programming skills in Python (preferred) and/or R, with practical experience using ML and ...

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

This role emphasizes end-to-end development of machine learning and AI systems, including ... Advanced programming skills in Python (preferred) and/or R, with practical experience using ML and ...

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... of Spark, Python, or Scala • Strong familiarity with map/reduce programming models • ...

Ex Parte, Inc

Senior Data Engineer

Bethesda, MD · On-site +1

$113K - $153K/yr

We are applying artificial intelligence, machine learning, and natural language processing to ... Qualifications Requirements : • 3+ Knowledge of Spark, Python, or Scala • 3+ years experience ...

Black Canyon Consulting

UI/UX Developer

Bethesda, MD · On-site +1

This is a full-time position located at the NIH campus in Bethesda, MD and/or remote. The National ... python, Django, C++, you name it) and environments (big data [petabytes], machine learning ...

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How much do remote python machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for remote python machine learning in Maryland is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.62 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Maryland? The most popular types of Python Machine Learning jobs in Maryland are:
What are popular job titles related to Remote Python Machine Learning jobs in Maryland? For Remote Python Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Maryland look for? The top searched job categories for Remote Python Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Remote Python Machine Learning jobs? Cities in Maryland with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Senior Data Scientist

Senior Data Scientist

Ex Parte, Inc

Bethesda, MD • On-site, Remote

Full-time

Posted 29 days ago

Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
  • Drive technical roadmap to extend risk monitoring across identified threat surfaces.
  • Develop/experiment/ship state-of-the-art prediction models
  • Use excellent data science practices to iteratively produce high performing models
  • Create immediate impact through sound and practical deliveries of risk monitors
  • Work with engineering colleagues to convey findings through data visualizations
  • Measure, tune and refine existing algorithms to incrementally improve performance
  • Analyze new and existing data after extracting. transforming and combining it in novel ways
  • Convey needs to engineering and operations teams to ensure healthy feedback loops
  • Attract and onboard new talent while preserving and enhancing existing culture
  • Build strong partnerships and collaborate with other teams across the enterprise
  • Demonstrate sense ownership and personal accountability for your team's work

Qualifications
Basic Qualifications:
  • 5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving
  • 2+ years management, mentoring, or other closely related team or people leadership experience
  • Experience in machine learning (supervised, semi-supervised or unsupervised learning)
  • Strong communication, delivery management, and leadership skills

Preferred Qualifications
  • A bachelor's degree, MSc or Ph.D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience
  • Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git)

Additional Information
All your information will be kept confidential according to EEO guidelines.

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