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Remote Machine Learning Jobs in Philadelphia, PA

YO AI Labs

SolidWorks Expert - Remote

Philadelphia, PA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

B Lab

Junior Data Engineer (Philadelphia, PA)

Philadelphia, PA · On-site +1

$62K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will absorb data engineering work currently split between the Senior Machine Learning Engineer ... A remote-first workplace * A flexible work environment with the ability to plan your work week ...

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Machine learning * Data visualization * Data manipulation Qualifications Preferred applicants will ...

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Showing results 41-60

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Philadelphia, PA

Remote Machine Learning information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

How much do remote machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Philadelphia, PA?

The most popular types of Machine Learning jobs in Philadelphia, PA are:

What are popular job titles related to Remote Machine Learning jobs in Philadelphia, PA?

For Remote Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Philadelphia, PA look for?

The top searched job categories for Remote Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Machine Learning jobs?

Cities near Philadelphia, PA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Philadelphia, PA as of August 2026, with employment types broken down into 15% Internship, 41% Full Time, and 44% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,971 per year, or $20.7 per hour.

AWS Technical Labs Developers (Remote)

LearnQuest

Philadelphia, PA • Remote

Full-time

Re-posted 13 days ago

Job description

We are looking for freelance Technical Lab Developers for a full time project work (lasting cca 4 months) to help us build AWS hands-on labs.

The qualified candidate will have experience developing and deploying solutions using cloud-based services, a deep technical knowledge of multiple IT domains, and excellent writing skills. Additionally, the ideal candidate will have training delivery, or training development experience and be able to provide analysis of learning materials from a technical perspective. Software development experience is highly desirable.

Key job responsibilities: 
  • Dive deep into AWS technologies, such as Big Data, Web Applications, Security, Networking, High Performance Computing, Storage, Databases, Enterprise Applications, Migration Strategies or other solutions areas to understand the services and develop effective training for our customers.
  • Develop and maintain a cohesive set of real-world, scenario-based labs to reinforce the learning objectives.
  • Coordinate with the Technical Curriculum Architect to ensure that hands on labs are built for scalability and long-term support.
  • Utilize automated lab and courseware publishing process to manage and deploy content.
  • Work with the Technical Curriculum Architects to provide support and maintenance for the deployed hands-on labs.
  • Determine services and features to be included in course lab exercises, based on intended audience profile, learning objectives, best practices and strategic initiatives.
  • Collaborate with Subject Matter Experts (including Curriculum Developers, Technical Trainers, Support Engineers, Professional Services, and Solutions Architects) to build technically accurate training that meets the learning objectives.
  • A day in the life Every day is a new adventure! You are assigned to work on a specific course or set of courses. The technology you’ll work with will vary based on the course subject matter. Labs often need to have a few resources created before students can begin a lab. You will create templates and scripts to automate the deployment of these resources. You will document the steps required to complete the lab, including explanations. As you build labs for a course, you will collaborate with Technical Architects, Instructional Designers, and Curriculum Developers to ensure the instructional content and the labs are aligned.
Basic qualifications:
  • 1+ years prior experience designing, deploying, and operating internet-scale applications
  • 2+ years domain expertise in one or more of the following: data analytics, machine learning, data platforms, or general cloud technology
  • Demonstrated ability to work cross-functionally with multiple teams and stakeholders
  • Technical degree (e.g. Computer Science) or 2 years' relevant work experience required Current AWS Certification (Associate or Professional level)
  • Knowledge and/or hands-on experience with AWS infrastructure services. Experience designing, developing, and delivering instructional materials for technical content. Domain expertise in one or more of the following: big data, DevOps, security, systems administration, software development, cloud technology
  • Professional experience building systems on Amazon Web Services
  • Excellent command of English (speaking & writing)
  • Willingness to work across time zones.  Many colleagues are based in the USA

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