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Remote Machine Learning Jobs in Philadelphia, PA

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

Bread Financial

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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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.

AI & Automation Strategy Lead

Willis Towers Watson (WTW)

Mount Laurel, NJ • Remote

Full-time

Re-posted 23 days ago

Willis Towers Watson rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

37th of 150 rated financial services

Job description

The Role 

Strategic Partnership & Collaboration

  • Act as the primary liaison between GCO, the WE DO Corp IT Platforms team, and the Automation and AI COEs, fostering a collaborative and transparent working relationship.
  • Partner with crossfunctional stakeholders to understand business needs and build technology solutions that support operational goals.

Technology Strategy & Roadmap Development

  • Maintain currentstate assessments of GCO tools, systems, and processes, documenting strengths, gaps, and opportunities.
  • Establish and maintain a comprehensive technology and automation roadmap that aligns with organizational priorities and futurestate vision.

Process Optimization & Automation

  • Identify opportunities to streamline workflows, reduce manual effort, and improve operational efficiency through automation and process redesign.
  • Recommend and shape automation solutions that deliver measurable impact on efficiency and cost reduction.

Technology Implementation

  • Partner closely with IT teams to design, evaluate, and implement technology solutions - including RPA, AI, machine learning, and other emerging capabilities.
  • Support project planning, requirements gathering, and development to ensure successful implementation of new tools and features.

Vendor Partnership

  • Collaborate with Vendor Management to evaluate external technology partners and provide feedback on vendor performance, capabilities, and future enhancements.

Change Adoption

  • Promote continuous learning and encourage team proficiency in emerging technologies, automation and AI.

Work Environment

  • Operate effectively in a fully remote role, demonstrating accountability, communication, and selfmanagement.
  • Contribute to a collaborative and highperforming team culture.

  • This role will require working US hours.

The Requirements 

Core Competencies

  • Strong communication and relationshipbuilding skills, with the ability to collaborate across IT, business operations, and vendor teams.
  • Strategic mindset with the ability to translate business needs into practical technology solutions.
  • Demonstrated capability in process analysis, workflow optimization, and the application of automation tools.
  • Proven ability to lead crossfunctional initiatives and influence without formal authority.

Technical Skills

  • Experience with automation platforms, RPA tools, and emerging technologies such as AI and machine learning.
  • Ability to evaluate technology capabilities and document requirements for both business and technical audiences.

Additional Preferred Skills

  • Background in technology planning, operational workflow design, or digital transformation.
  • Experience assessing vendor tools and collaborating with thirdparty providers.
  • Strong facilitation skills to support user adoption.

WTW is an Equal Opportunity Employer 

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What Willis Towers Watson employees say

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