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Remote Director Machine Learning Jobs in North Carolina

IQVIA

AI Solutions Delivery 3 (Remote)

Durham, NC · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

IQVIA

AI Solutions Delivery 3 (Remote)

Durham, NC · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in North Carolina

Remote Director Machine Learning information

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

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

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are popular job titles related to Remote Director Machine Learning jobs in North Carolina?

For Remote Director Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Director Machine Learning jobs in North Carolina look for?

The top searched job categories for Remote Director Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Director Machine Learning jobs?

Cities in North Carolina with the most Remote Director Machine Learning job openings:

Remote Director Machine Learning jobs near you
Infographic showing various Remote Director Machine Learning job openings in North Carolina as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 16% Part Time, 2% Temporary, 4% Contract, and 2% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

AVP, AI (Data Science/Engineer) Remote - EST

Arch Capital Group

Raleigh, NC • Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning. Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.
Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.
Key Responsibilities
• Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.
• Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.
• Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.
• Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.
• Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.
• Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.
• Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.
• Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.
• Translate business opportunities into scalable AI solutions that deliver measurable business value.
Required Skills and Experience
• 7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.
• 3+ years of people leadership experience.
• Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.
• Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.
• Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.
• Strong experience evaluating AI technologies, platforms, and vendors.
• Strong Python experience for data science, machine learning, and AI development.
• Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.
• Strong communication skills with the ability to influence technical and non-technical stakeholders.
• Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.
Desired Skills and Experience
• Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.
• Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.
• Experience applying AI and machine learning within enterprise environments.
• Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.
• Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.
Education
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.
#LI-LH1
#LI-REMOTE
For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$185,000 - $235,000/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC

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