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Director Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Fidelity Investments

Director, Data Science

Durham, NC · On-site

Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with ... a Director, Data Science (or closely related occupation) designing and building complex and ...

Peter Millar

Senior Data Scientist

Durham, NC · On-site

... machine learning, business strategy, and the modern data platform (Microsoft Fabric, OneLake, and Azure), this role designs, builds, and deploys predictive models that have direct revenue impact ...

Wolfspeed

Manager of Research Science

Durham, NC · On-site

As a Manager of Research Science in Machine Learning, you will direct a research group to develop technology for future products and oversee interdepartmental activities and research efforts.

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first ... Develop and implement AI and machine learning strategies across several healthcare domains

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first ... Develop and implement AI and machine learning strategies across several healthcare domains

Targan Inc

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

... the Director of Vision to monitor/ improve production code deployments and collaborate with the ... Develop and implement machine learning derived software to solve business problems. * Integrate ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

... and machine learning best practices. * Working with product leaders to apply data science solutions. * Leading small- to medium-sized teams (direct or indirect). Requirements * Masters plus 7-10 ...

ABB

OEM Sales Director-Machinery

Cary, NC · On-site +1

Set the strategic growth plan for machinery OEM market with short-mid-long term milestones, and ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

... and machine learning best practices. * Working with product leaders to apply data science solutions. * Leading small- to medium-sized teams (direct or indirect). Requirements * Masters plus 7-10 ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

... and machine learning best practices. * Working with product leaders to apply data science solutions. * Leading small- to medium-sized teams (direct or indirect). Requirements * Masters plus 7-10 ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

The role involves directing AI coding agents, designing and building machine-learning models, and ensuring the delivery of production software on a regulated SaaS platform. Responsibilities : • ...

EXCLUSIVE JETS LLC

AI Software Developer

Raleigh, NC · On-site

Directing and verifying AI coding agents * Machine-learning model development and deployment * API development and system integration * Cloud architecture and deployment * Relational databases and ...

Cree

Manager of Research Science

Durham, NC

As a Manger of Research Science in Machine Learning you will direct the activities of a research group in the research and/or development of technology relevant to Wolfspeed's future products ...

EXCLUSIVE JETS LLC

AI Software Developer

Raleigh, NC · On-site

Directing and verifying AI coding agents * Machine-learning model development and deployment * API development and system integration * Cloud architecture and deployment * Relational databases and ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Raleigh, NC

Director Machine Learning information

See Raleigh, NC salary details

$35K

$89.4K

$137.1K

How much do director machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for director machine learning in Raleigh, NC is $89,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in Raleigh, NC? The most popular types of Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Director Machine Learning jobs in Raleigh, NC? For Director Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Director Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Director Machine Learning jobs? Cities near Raleigh, NC with the most Director Machine Learning job openings:
Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Raleigh, NC as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $89,366 per year, or $43 per hour.
Director, Data Science

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Posted 29 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

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Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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