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Remote Machine Learning Jobs in Malvern, PA (NOW HIRING)

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 ...

Jj

Senior Scientist, In-Silico Formulations

Malvern, PA · On-site +1

... workstations and/or remote servers. * Clearly communicating the results of computational ... Demonstrated application of artificial intelligence/machine learning (AI/ML) methods to solve real ...

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

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

Remote Machine Learning information

See Malvern, PA salary details

$25K

$41.8K

$86.4K

How much do remote machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote machine learning in Malvern, PA is $41,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $45,100.00 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 Malvern, PA? The most popular types of Machine Learning jobs in Malvern, PA are:
What cities near Malvern, PA are hiring for Remote Machine Learning jobs? Cities near Malvern, PA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

A.I. Manager

GATE 1 LTD

PA • On-site, Remote

Other

Re-posted 24 days ago

Job description

About the Company
We are a forward-thinking company committed to leveraging innovation to drive business growth and operational excellence. As part of our continued investment in technology, we are building an in-house AI department to lead the design, development, and deployment of AI-driven solutions across key areas of our business.
Why Join Us
  • Be a founding leader in shaping our AI capabilities and strategy.
  • Work remotely with flexibility and autonomy.
  • Join a collaborative, innovative, and mission-driven team.
  • Competitive compensation, benefits, and growth opportunities.

Job Summary
We are seeking an experienced and visionary AI Manager to lead the formation and development of our in-house AI team. This is a foundational leadership role responsible for designing the AI strategy, building a high-performing team, and overseeing the delivery of impactful AI solutions that align with our business objectives. You will work cross-functionally with business stakeholders, engineers, analysts, and product managers to identify opportunities where AI can create value, and then lead the implementation of those solutions from concept to production.
Key Responsibilities
Strategy & Leadership
  • Define and execute the AI roadmap in alignment with business goals.
  • Serve as the company's internal expert on AI trends, opportunities, and risks.
  • Build and lead a remote AI team, including recruiting, mentoring, and performance management.
  • Collaborate with leadership to identify high-impact AI use cases across departments.

Project Management & Delivery
  • Oversee the development and deployment of AI models and tools.
  • Ensure AI projects are delivered on time, within scope, and meet quality standards.
  • Drive adoption of best practices in data science, MLOps, and model governance.

Technical Oversight
  • Guide model development, including machine learning, deep learning, NLP, and generative AI, depending on use cases.
  • Ensure scalable and maintainable AI systems and pipelines.
  • Partner with data engineering teams to ensure data quality, availability, and security.

Cross-Functional Collaboration
  • Communicate complex AI concepts clearly to non-technical stakeholders.
  • Translate business problems into data-driven solutions.
  • Advocate for ethical AI practices and responsible data use across the organization.

Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in applied AI, machine learning, or data science roles.
  • 2+ years of experience in a leadership or managerial capacity.
  • Proven experience delivering AI/ML solutions in a business environment.
  • Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
  • Experience working in agile, cross-functional teams.

Preferred
  • Experience in building and scaling internal AI functions from the ground up.
  • Familiarity with LLMs, generative AI, and prompt engineering.
  • Exposure to AI use cases across multiple domains (e.g., marketing, operations, customer support).
  • Excellent communication, presentation, and stakeholder management skills.

Apply