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Manager Remote Machine Learning Engineer Jobs in Philadelphia, PA

... Manager & Mentor: o Oversee the design and delivery of advanced statistical/machine learning ... data scientists, developers, and clinical experts to translate clients' business needs into ...

... Manager & Mentor: o Oversee the design and delivery of advanced statistical/machine learning ... data scientists, developers, and clinical experts to translate clients' business needs into ...

... change management required to turn tool access into real, lasting behavior change. * Custom AI ... We engineer purpose-built AI workflows and agents for our clients' highest-value problems - from ...

Apply now: Product Manager, Remote. Start date is ASAP for this 6-month contract (potentially ... with engineering and design teams Coordinate and assign work to business analysts, ensuring ...

Remote (East Coast candidates preferred) Start Date: ASAP Duration: 6-12 Month Contract ... Partner with engineering managers and tech leads to shape, document, and refine technical ...

... Manager for our technology platforms team. This hands-on role will own products across our CMS ... Working closely with Publishing, Engineering, Design, Commercial and the wider Product team, you'll ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Meet deadlines, manage competing priorities, and commit to meeting high standards. * Comply with ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Meet deadlines, manage competing priorities, and commit to meeting high standards. * Comply with ...

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 ...

Showing results 41-60

Manager Remote Machine Learning Engineer information

See Philadelphia, PA salary details

$30.8K

$69.2K

$116.5K

How much do manager remote machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager remote machine learning engineer in Philadelphia, PA is $69,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $75,200.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

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

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

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

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

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

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

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

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

AI Solutions Delivery 3 (Remote)

IQVIA

Wayne, PA • Remote

Full-time

Posted 24 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

63rd of 225 rated it services


Job description

This is an exciting opportunity to work as a Senior Consultant in IQVIA, one of the world's leading multi-disciplinary and cross-functional teams working with Real World patient data to help our client base answer their key business questions, make more informed decisions, and deliver results. Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare conditions, predicting patient behavior, such as switching, and understanding a patient's diagnosis and treatment journey through the health system.

As part of this team, you will be at the forefront of evolving the team's offerings while assuming the following responsibilities:

Note: This role is ideal for professionals who enjoy solving business problems and working with clients. You will act as the liaison between clients and technical teams, helping define use cases, prioritize requirements, and translate complex analytical concepts into actionable business recommendations, rather than performing hands-on data science or machine learning development.

Essential Functions
Business Development Support:
o Research clients' business problems and find potential solutions through our offerings, while supporting proposals and client pitches. Work closely with internal stakeholders from around the business to ensure the proposed solution is truly innovative and provides an exciting value proposition to clients.

Project Manager & Mentor:
o Oversee the design and delivery of advanced statistical/machine learning projects such as predictive modeling, patient journeys, HCP targeting, and HCP alerts. You will be responsible for multi-disciplinary projects involving other consultants, data scientists, developers, and clinical experts to translate clients' business needs into analytical problems and deliver the findings in clinically and commercially meaningful interpretations. Throughout the process, you will apply problem solving and critical thinking, intellectual engagement, project management, and maturity in communication.
o Serve as project manager and lead larger or more complex customer projects dependent on AIML solutions/offerings. This includes managing timelines, project staff, margins, issue resolution, and creating/reviewing and presenting relevant project materials (e.g., methodology documentation, PowerPoint presentations for client meetings, etc.)
o Manage, mentor, and teach junior staff directly on projects
o Establish strong credibility and build a relationship with the customer

Team Support:
o Supports creation of project road maps required to deploy completed solutions; contributes to product improvements and growth through regular feedback to Product Owners
o Support the team by helping to scope and execute new offerings and establish best practices to share with the broader team
o Support and take ownership of various internal initiatives including: project automation and standardization, mentorship of new employees, recruitment, thought leadership, and team building.

Qualifications
BA/BSc preferably related to life sciences, chemistry, economics, business, engineering, mathematics, statistics, or computer science
6-8 years experience
A postgraduate qualification in life sciences, statistics or a related discipline is desirable although not essential

Desired Skills
Strong capability in managing analytics projects and priorities so that deadlines are met while retaining consistently high-quality deliverables
Interest in working on GenAI/agentic workstreams
Experience in healthcare/life sciences with focus on strategic business cases for analytics services or products
Experience analyzing and interpreting various types of patient level data preferred
Basic ability to extract, transform, analyze data through SQL/python helpful, but not required
A deep understanding of the application of statistics/machine learning in healthcare/life sciences and the pharmaceutical industry or excitement to upskill in these areas
Ability to think through and effectively communicate analytical and clinical concepts and problems
Experience managing multi-disciplinary teams
Experience developing credible relationships with senior level managers and executives
Knowledge of key issues and current developments in the healthcare and life sciences industries
Strong PowerPoint and Excel skills, ability to storyboard and translate technical concepts into clear, concise messaging for various customer audiences

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $111,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IQVIA logo

About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US