ZipRecruiter

Log In

2

Remote Python Machine Learning Jobs in Huntingdon Valley, PA

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110.49K - $115.60K/yr

... modeling, machine learning and visualization purposes, and Java, Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau.

Varsity Tutors

Data Science Tutor

Trenton, NJ · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Chester, PA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

next page

Showing results 1-20

People also search for

All JobsRemote Python Machine Learning JobsRemote Python Machine Learning Jobs in Huntingdon Valley, PA

Remote Python Machine Learning information

See Huntingdon Valley, PA salary details

$12

$57

$84

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

As of May 30, 2026, the average hourly pay for remote python machine learning in Huntingdon Valley, PA is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.34 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.
More about Remote Python Machine Learning jobs
What are the most commonly searched types of Python Machine Learning jobs in Huntingdon Valley, PA? The most popular types of Python Machine Learning jobs in Huntingdon Valley, PA are:
What job categories do people searching Remote Python Machine Learning jobs in Huntingdon Valley, PA look for? The top searched job categories for Remote Python Machine Learning jobs in Huntingdon Valley, PA are:
Remote Python Machine Learning jobs near you

Quantitative Analyst, Applied Biomechanics

Philadelphia Phillies - Baseball Operations

Philadelphia, PA • On-site, Remote

Other

Medical, Retirement, PTO

Posted 4 days ago

Job description

Title: Quantitative Analyst, Applied Biomechanics
Department: Baseball Solutions - Applied Biomechanics
Reports to: Manager, Applied Biomechanics or Manager, Foundational Research
Status: Regular Full-Time
Location: Philadelphia, PA or Clearwater, FL

Overview:

The Philadelphia Phillies are hiring a Quantitative Analyst to join our Applied Biomechanics team, with a focus on quantitative modeling and analysis. In this role, you'll use biomechanical and/or high performance data to answer practical questions about player evaluation, development, and on-field outcomes. You'll help translate complex data into clear, objective insights that support coaches, analysts, and decision-makers across the organization.

What You'll Do:

  • Build statistical models using athlete high performance, on-field performance, and biomechanical data.
  • Develop metrics, tools, and visualizations to support player evaluation, player development, workload management, and gameplanning processes.
  • Conduct research on relationships between tracking data and on-field outcomes.
  • Help productionize analytical tools and maintain scalable research pipelines.

Required Qualifications:

  • Proven experience creating high performance or biomechanical metrics and researching their relationship to on-field performance.
  • Strong familiarity with supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
  • Proficiency with scripting languages such as Python, statistical software (R, SAS, or similar), and databases (BigQuery, MySQL).

Preferred Qualifications:

  • Familiarity with best practices in machine learning operations (Git, Docker, MLFlow, or equivalent).
  • Demonstrated experience in handling, analyzing, and interpreting biomechanical data in sports. 
  • 1-5+ years of relevant work experience.
  • Master's Degree or Ph.D. in Sports Science, Data Science, or a related field.

What We Offer:

  • Competitive Salary & Benefits: A benefits package that includes health insurance, retirement plans (NUPP and 401k), paid time off, tickets to Phillies games, and the option of remote work.
  • Access To The Cutting Edge: Exposure to advanced tools and proprietary data.
  • Dynamic Team Environment: Work with a team committed to excellence.
  • Personal Growth: Learn from colleagues within a supportive and driven environment.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Apply