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

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Leading small- to medium-sized teams (direct or indirect) * Setting a high-bar for model ...

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Leading small- to medium-sized teams (direct or indirect) * Setting a high-bar for model ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Leading direct and indirect reports, you'll influence and mentor distributed teams in best ... The ideal candidate will have a deep understanding of machine learning algorithms, experience ...

Develop a strong understanding of customer workflows and operational challenges through direct ... Partner closely with data scientists, machine learning engineers, designers, product managers ...

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 ...

Scientist Sr

Durham, NC · On-site

$88K - $149K/yr

We are looking for a Machine Learning/Computer Vision Scientist to join our Autonomy, Processing ... Join us in making a direct real-world impact through tackling amazing R&D challenges in the ...

At Yodlee Inc, we're at the forefront of innovation, utilizing cutting‑edge Machine Learning ... The Credit & Fraud Analytics Director is responsible for leading the development and management of ...

Develop and train machine learning models to solve problems such as prediction, classification, and ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

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Director Machine Learning information

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$35K

$89.4K

$137.1K

How much do director machine learning jobs pay per year?

As of Jun 18, 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 $900,000 AI job?

A $900,000 AI job typically refers to senior roles such as Director of Machine Learning or Chief AI Officer, which involve leading AI strategy, managing teams, and developing advanced models. These positions often require extensive experience, expertise in machine learning frameworks, and strong leadership skills, with compensation reflecting high-level responsibilities and industry demand.

Which 3 jobs will survive AI?

For a Director of Machine Learning, roles that require complex problem-solving, strategic oversight, and domain expertise are likely to persist, such as AI research scientists, data science managers, and AI ethics specialists. These positions involve high-level decision-making, creativity, and understanding of nuanced human contexts that are difficult for AI to fully replicate. Skills in leadership, critical thinking, and advanced technical knowledge will remain valuable in these roles.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML Engineer or Data Scientist, are generally among the higher-paying jobs in the tech industry due to the specialized skills required, such as programming, statistics, and experience with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be significantly above average for many other roles in technology and data analysis.

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.

How much does an AI director make?

An AI director's salary typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, deep learning, and leadership often command higher compensation, especially in tech hubs or large organizations.

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 cities near Raleigh, NC are hiring for Director Machine Learning jobs? Cities near Raleigh, NC with the most Director Machine Learning job openings:
Director of AI & Machine Learning

Director of AI & Machine Learning

Accentuate Staffing

Morrisville, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Accentuate Staffing is seeking a Director of AI & Machine Learning with strong strategic vision, deep hands‑on technical expertise, and a proven ability to build and lead high‑performing teams delivering scalable, ethical AI solutions. The ideal candidate will also excel at aligning advanced machine learning capabilities with business objectives and driving innovation across the organization.

Responsibilities:

Manage and Develop Staff

  • Responsible for establishing and implementing a safe working environment that meets all licensure, regulatory, and accreditation requirements
  • Lead, train and develop the members of the Artificial Intelligence team and assist them in delivering clear and actionable information
  • Develops plans to monitor and manage staff productivity and success in meeting assigned objectives
  • Ensure staff are well trained in policies, procedures, and business processes
  • Reviews, makes recommendations and implements the needed systems and tools to successfully fulfill corporate objectives and to support staff and team members
  • Lead the identification and development of the Artificial Intelligence Team roles, configuration and recruitment
  • Provide solution design guidance to the Artificial Intelligence team, ensuring delivery of best‑in‑class solutions for the challenges at hand
  • Leads ongoing coaching and mentoring to staff on new technology tools and practices, including change management practices, to support a learning environment to advance team skills
  • Ensure all staff are treated with respect and dignity
  • Ensure standards are transparent and applied consistently, impartially, and ethically over time and across all staff members
  • Work to resolve conflicts and disputes, ensuring that all participants are given a voice
  • Effectively communicate feedback and provide ongoing coaching and mentoring to staff and support a learning environment to advance team skills and professional development
  • Cultivate and encourage efforts to expand cross‑team collaboration and partnership

Oversee Artificial Intelligence Operations

  • Lead the development and implementation of AI/ML initiatives across the organization, ensuring alignment with business objectives and strategies
  • Collaborate with cross‑functional teams to design, build, and deploy AI/ML models and solutions
  • Oversee the collection, processing, and analysis of large datasets from various sources to fuel AI/ML models
  • Develop and maintain relationships with external partners, vendors, and academia to stay ahead of the curve in AI/ML innovation
  • Ensure the successful deployment of AI/ML solutions across the organization, including training, support, and ongoing maintenance
  • Foster a culture of innovation and experimentation, encouraging collaboration and knowledge sharing across the organization
  • Develop, define, and enforce best practices, processes, policies and system security to ensure alignment with all corporate strategy and goals

Communication and Collaboration

  • Lead in a consultant role in advising executive and senior leadership on complex and high‑risk strategic and contractual operational IT initiatives
  • Collaborate with leaders across the organization to help them understand and identify the value drivers to improve business operations and meet organizational objectives
  • Communicate corporate initiatives with both technical and non‑technical executives and other team members, using active leadership skills across project team and the business community
  • Develop cross‑departmental teams and analytics business application expertise throughout the organization
Requirements:
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and 5 (five) years of experience with increasing responsibilities in managing and supporting information technology
  • Strong technical expertise in AI/ML algorithms, data modeling, and data engineering
  • Excellent analytical, strategic conceptual thinking, strategic planning and execution skills
  • Experience with AI/ML platforms and tools, such as TensorFlow or PyTorch
  • Experience with GenAI Models, such as Meta Llama and Mistral AI
  • Excellent verbal and written communication skills, including the ability to explain AI concepts
  • Planning and organizational skills
  • Demonstrated skills in Microsoft Project, Excel, Word, and PowerPoint and other commonly used software and data analysis software
  • Proven track record of delivering successful AI/ML projects and solutions
  • Strong business acumen, including industry, domain‑specific knowledge of the enterprise and its business units
  • Ability to identify and calculate risk levels and implement mitigation techniques.
  • Ability to work effectively with, manage, motivate and get results from diverse stakeholders, including executive and senior leadership.
  • Ability to work across multiple, distributed, functional groups
  • Specific experience with clinical management information systems is a plus.
  • Artificial Intelligence and Machine Learning
  • Productivity and reporting applications such as Data Analytics
  • Business processes and their interrelationship gained through 5 (five) or more years of related experience
  • Analyzing and resolving complex issues, both logical and interpersonal
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