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Remote Machine Learning Engineer Jobs in North Carolina

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... data scientists, developers, and clinical experts to translate clients' business needs into ...

Senior Software Engineer

Raleigh, NC · On-site +1

$119K - $157K/yr

DomainTools is hiring a Senior Software Engineer to join our Engineering Team. This role is perfect ... Experience with data mining or machine learning techniques * Experience with text codec, encoding ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology ... data scientists, developers, and clinical experts to translate clients' business needs into ...

You will work closely with experimental scientists, device engineers, and software and operations ... Bonus: knowledge of machine learning models and-development cycle * Experience with NGS data and ...

Identify opportunities to leverage artificial intelligence and machine learning to improve ... GIS & Programming * * Develop Python scripts and geoprocessing tools to automate repetitive GIS ...

Decision Scientist

Raleigh, NC · On-site +1

$118K - $178K/yr

Design, develop, and deploy machine learning models that support key decision points throughout the ... Partner closely with Data Engineering teams to build and maintain the data pipelines and workflows ...

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial ...

Showing results 41-60

Remote Machine Learning Engineer information

See North Carolina salary details

$28.6K

$117K

$175.9K

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

As of Aug 10, 2026, the average yearly pay for remote machine learning engineer in North Carolina is $117,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $140,900.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in North Carolina? The most popular types of Machine Learning Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Machine Learning Engineer jobs? Cities in North Carolina with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in North Carolina as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 22% In-person, and 78% Remote job distribution, with an average salary of $117,026 per year, or $56.3 per hour.

AI Solutions Delivery 3 (Remote)

IQVIA

Durham, NC • Remote

Full-time

Posted 10 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

61st of 223 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