ZipRecruiter

Log In

2

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

QVC

Data Engineer

West Chester, PA · Remote

$108K - $130K/yr

Where You'll Work This role is remote; job seekers must reside in one of the following states to be ... Explore and learn about machine learning, data science, AI, and personalization technologies to ...

Cisco

Account Executive - Splunk (Remote)

Philadelphia, PA · On-site +1

$269K - $360K/yr

Become known as a thought-leader in machine learning and predictive analytics. * Expand relationships and orchestrate complex deals across more diverse business stake-holders. * Holistically embrace ...

ParetoHealth

Lead Data Analyst

Philadelphia, PA · On-site +1

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic ...

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic ...

previous page

Showing results 41-60

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 9, 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

Integration Manager, Enterprise Solutions Architect

Amerihealth Caritas

Newtown Square, PA • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

127th of 304 rated insurance

Job description

Role Overview

We are seeking an Enterprise Integration Technical Manager to lead a team of Technical Leads and Architects and oversee critical enterprise integration and API platforms, including Apigee, ESB (MuleSoft / IBM Integration Bus), and Ping Federate SSO platform. This role combines strong leadership with deep technical and architectural expertise, ensuring quality delivery, operational stability, and modernization across key platforms.

Work Arrangement

  • This is a hybrid, office based position at our Ellis Preserve office located in Newtown Square, PA.  Core office days are Tuesday, Wednesday, and Thursday (remote on Monday and Friday).  **We may consider 100% remote candidates if you live in EST or CST time zones.

Responsibilities

  • Lead and develop a high-performing team of technical leads and application architects
  • Drive API-first, microservices, SOA, and cloud-native architecture practices
  • Manage and provide technical oversight for Apigee, ESB platforms, .NET APIs, and the ARO/Kubernetes platform
  • Demonstrates strong expertise in enterprise data integration patterns, event‑streaming platforms (Kafka, Event Hubs), and asynchronous messaging architectures
  • Guide the design and implementation of .NET-based APIs, ensuring alignment with enterprise standards, security models, and performance requirements
  • Define roadmaps, standards, and architectural patterns for cloud migration and cloud integration initiatives to modernize platforms and enable seamless, secure enterprise interoperability
  • Advance modernization initiatives leveraging Kubernetes, Azure Red Hat OpenShift (ARO), and cloud-native engineering practices
  • Oversee architecture governance, standards, design reviews and partner with engineering, product, and security teams to ensure aligned delivery 
  • Understanding of security architecture principles, including API security, identity/access patterns (OAuth, OIDC), zero trust, and secure cloud design
  • Contribute to multi-year platform and integration modernization roadmaps
  • Champion automation, including AI-driven automation, to improve solution quality, delivery speed, and platform reliability
  • Review and guide technical deliverables to ensure quality, security, reusability, and scalability
  • Manage project delivery by planning, prioritizing, tracking progress, and removing blockers
  • Translate business requirements into technical solutions and communicate effectively with stakeholders
  • Ensure high-quality engineering practices, including code standards, DevOps, testing, and security
  • Oversee production stability, incident resolution, and continuous improvement of systems and processes
  • Align technology strategy with business goals to support scalability, innovation, and efficiency
     

Education and Experience

  • Bachelor’s degree in computer science engineering, Information Systems, or a related technical field
  • Over ten (10) years of progressive IT experience, including seven (7)+ years in enterprise or solution architecture with a focus on API‑first integration, modern integration patterns, and cloud‑native modernization, along with two (2)+ years of technical team leadership
  • Strong experience with API management and integration platforms like Apigee, MuleSoft, IBM Integration Bus, or equivalent ESB technologies
  • Expertise in .NET API design and development, including RESTful API standards, security patterns, and performance tuning
  • Deep understanding of SOA, API-first integration models, microservices, Single Sign-On and containerization platform
  • Proven experience leading API platform migrations, including Apigee X or MuleSoft modernization, across cloud and hybrid environments with minimal business disruption
  • Experience with SSO patterns (SAML, Auth 2.0, OIDC)
  • Hands-on experience with Kubernetes, container platforms, or OpenShift (preferably Azure Red Hat OpenShift)
  • Experience with cloud platforms such as Azure (preferred), AWS, or GCP
  • Knowledge of automation techniques, including AI-enabled architectural and operational automation
  • Strong communication, leadership, and stakeholder management skills
  • Proficiency in relational databases (SQL Server, Oracle) and working knowledge of NoSQL and modern cloud data platforms
  • Familiarity with CI/CD pipelines and DevOps tools (GitLab, Nexus, Jenkins, ArgoCD)
  • Knowledge of Integration Security, Infrastructure Architecture, API governance, and compliance controls
  • Familiarity with Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) protocols, enabling secure context‑aware data exchange, cross‑agent interoperability, and intelligent integration across hybrid application environments
  • Exposure to emerging technologies such as AI and Machine Learning, including automation opportunities within integration operations
  • Strong communication, stakeholder management, organizational, and leadership skills
  • Healthcare experience preferred
     

Our Comprehensive Benefits Package

Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.

Your career starts now. We’re looking for the next generation of health care leaders.

At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you.

Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.

Discover more about us at www.amerihealthcaritas.com.

What AmeriHealth Caritas employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply