1

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

Direct Preference Optimization (DPO) * Proximal Policy Optimization (PPO) * Reward Modeling * Experience deploying machine learning models at scale on cloud platforms (e.g., Azure, AWS) is preferred.

Direct Preference Optimization (DPO) * Proximal Policy Optimization (PPO) * Reward Modeling * Experience deploying machine learning models at scale on cloud platforms (e.g., Azure, AWS) is preferred.

... 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 ...

Senior Vision Software Engineer (R&D)

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 ...

Senior Vision Software Engineer (R&D)

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 ...

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

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 ...

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 ...

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 ...

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

AI Solutions Engineering Delivery Lead

Raleigh, NC · On-site

$99K - $131K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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 ...

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

Showing results 21-40

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 Sep 9, 2026, the average yearly pay for director machine learning in Raleigh, NC is $89,361.00, 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 is a director machine learning?

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 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 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.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 cities near Raleigh, NC are hiring for Director Machine Learning jobs?

Cities near Raleigh, NC with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $89,361 per year, or $43 per hour.

GenAI Python Systems Engineer - Senior Associate

Raleigh, NC • On-site

Pwc
Finance and Insurance • 10K+ employees

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.
Responsibilities
- Designing and optimizing algorithms and models to enhance intelligent decision-making and automation
- Developing and implementing advanced AI and machine learning solutions to drive innovation in business processes
- Transforming raw data into actionable insights to support informed decision-making and business growth
- Leveraging advanced technologies and techniques to design robust data solutions for clients
- Utilizing Python and machine learning libraries to build scalable AI systems
- Conducting complex data analysis to identify trends and inform strategic recommendations
- Collaborating with cross-functional teams to address data challenges and improve data quality
- Building meaningful client connections and managing stakeholder expectations effectively
- Navigating complex situations to deliver quality solutions and grow personal skills
- Upholding professional and technical standards in alignment with firm guidelines and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Utilizing Python programming for AI-driven automation solutions
- Implementing machine learning libraries and NLP techniques
- Analyzing complex data to generate actionable insights
- Navigating ambiguity while maintaining client-focused solutions
- Developing meaningful client relationships through effective communication

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


pwc logo

About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK