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Director Graduate Machine Learning Jobs in North Carolina

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

The Director, Data Sciences is responsible for leading a team of data scientists and developing ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

Korn Ferry

Director, Data Sciences

Raleigh, NC · On-site

The Director, Data Sciences is responsible for raising data-driven decision making within a ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

Varsity Tutors

Statistics Graduate Level Tutor

Durham, NC · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

Smithfield Foods

Production Intern OSU

Tarboro, NC · On-site

$16/hr

Engaged under the supervision of the appropriate department leader while learning/performing duties ... recent graduate. Agriculture related majors preferred * Excellent communication skills, both ...

Smithfield Foods, Inc.

Production Intern OSU

Tarboro, NC · On-site

$16/hr

Engaged under the supervision of the appropriate department leader while learning/performing duties ... recent graduate. Agriculture related majors preferred * Excellent communication skills, both ...

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All JobsGraduate Machine Learning JobsDirector Graduate Machine Learning JobsDirector Graduate Machine Learning Jobs in North Carolina

Director Graduate Machine Learning information

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What are the most commonly searched types of Graduate Machine Learning jobs in North Carolina?

The most popular types of Graduate Machine Learning jobs in North Carolina are:

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

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

Director Graduate Machine Learning jobs near you

Manager, Machine Learning Engineer

Vangard, Inc.

Charlotte, NC • On-site

Full-time

Re-posted 20 days ago

Job description

Core Responsibilities

  • Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions in accordance with Human Resources policies and procedures.

  • Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures and translate strategic initiatives into executable roadmaps, epics, and engineering workstreams.

  • Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams, driving solutions from concept through production while ensuring alignment to business objectives and enterprise standards.

  • Establishes engineering practices, reusable frameworks, and platform capabilities that improve scalability, consistency, and delivery efficiency across AI/ML initiatives.

  • Oversees the design, implementation, and evolution of data, feature, and model pipelines to support reliable and scalable AI/ML solutions.

  • Applies expertise in machine learning, statistics, optimization, and experimentation methodologies to operationalize predictive and decision-support capabilities.

  • Evaluates data quality, feature readiness, and model inputs in partnership with Data Science teams to support successful model development and deployment.

  • Drives operational excellence through automation, observability, monitoring, incident management, and continuous improvement practices for production AI/ML systems.

  • Ensures adherence to enterprise governance, security, risk, compliance, and model lifecycle management requirements.

  • Engages business and technology stakeholders to understand objectives, assess opportunities, and translate complex requirements into actionable technical solutions.

  • Supports departmental planning, prioritization, and execution of strategic objectives while balancing delivery commitments, operational needs, and organizational goals.

  • Establishes scalable operating models, support processes, and service standards that enable long-term sustainability of AI/ML products and platforms.

  • Communicates technical strategy, solution recommendations, delivery progress, and business impact to senior technology and business leaders.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

  • Minimum of eight years related work experience.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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