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Director Machine Learning Jobs in Michigan (NOW HIRING)

Executive Director AI Architecture

Novi, MI ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type ... direct reports initially. However, a team of internals and external consultants will be built ...

Technical Project Manager

Ann Arbor, MI

$81.25 - $128.57/hr

  • Medical

  • Dental

  • Vision

  • Retirement

... direct authority. * Stakeholder Management and collaborate with multiple functional groups and ... Machine Learning, or data science solutions. * AI/ML Knowledge: solid understanding of AI/ML ...

New

Technical Project Manager

Ann Arbor, MI ยท On-site

$98 - $135/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... end Machine Learning Lifecycle (data prep, training, evaluation, deployment). * Strong ... teams without direct authority. Benefits: Our Benefits Include: * Medical, Dental, and Vision ...

New

Technical Project Manager

Ann Arbor, MI ยท On-site

$98 - $135/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... end Machine Learning Lifecycle (data prep, training, evaluation, deployment). * Strong ... Influence cross-functional teams without direct authority. Skills: * Project Management.

New

Managing Director, Product AI (Detroit)

Detroit, MI ยท On-site

$230K - $241K/yr

WPP Ford is seeking a visionary and experienced Managing Director of Artificial Intelligence to ... including machine learning, natural language processing, computer vision, deep learning, and ...

Showing results 41-60

Director Machine Learning information

See Michigan salary details

$31.4K

$80.1K

$122.9K

How much do director machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director machine learning in Michigan is $80,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $92,400.00 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 Michigan?

The most popular types of Machine Learning jobs in Michigan are:

What cities in Michigan are hiring for Director Machine Learning jobs?

Cities in Michigan with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $80,128 per year, or $38.5 per hour.

EY-Parthenon - AI Business Solutions - Director

Ernst & Young Oman

Detroit, MI โ€ข On-site

$205 - $235/hr

Other

Medical, Dental, Retirement, PTO

Re-posted 4 days ago


Job description

Location: New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Hoboken, Houston, Los Angeles, McLean, Philadelphia, San Francisco, Seattle

EY-Parthenon โ€“ AI Business Solutions โ€“ Director The opportunity

EY-Parthenonโ€™s unique combination of transformative strategy, transactions and corporate finance delivers real-world value โ€“ solutions that work in practice, not just on paper. Benefiting from EYโ€™s full spectrum of services, weโ€™ve reimagined strategic consulting to work in a world of increasing complexity.

Within the EY-Parthenon's service line, the AI Business Solutions team focuses on unlocking our opportunity potential for client AI solutions across EYP. We are a group of experienced professionals with deep technical expertise, business understanding, and consulting skills, bridging the gap between cutting-edge AI technology and actionable client solutions.

Your key responsibilities

As a Director with EY-Parthenon's AI Business Solutions team, you'll lead the development, solutioning and deployment of AI solutions, working across various sectors to solve complex problems and improve performance. You will help our clients navigate the AI landscape, developing innovative solutions in support of EY-Parthenon offerings.

Skills and attributes for success
  • Business consultant: Experience engaging directly with clients to assess their needs, supporting / leading positioning meetings, conduct workshops, and propose AI-driven solutions aligned with business objectives.
  • AI and Machine Learning Expertise: Deep knowledge of AI fundamentals, including algorithms, data structures, and programming languages like Python.
  • System Design and Architecture: Competence in crafting scalable, maintainable AI systems, with proficiency in cloud platforms (e.g., AWS, Azure), microservices, and APIs.
  • Data Engineering: Expertise in managing large datasets, building data pipelines, and ensuring data quality, preprocessing, and governance for AI applications.
  • Project Management: Skills in time management, task prioritization, and leading or contributing to project workstreams under tight deadlines.
  • Security and Ethics: Knowledge of AI-related security risks, data privacy, bias mitigation, and compliance with regulations (e.g., GDPR or industry-specific standards).
  • Business and Commercially Driven: Work in a fast-paced, exciting environment with strong business acumen to drive value to our clients.
  • Learning: Learn and develop technical and personal skills to support achievement of career goals, through a blend of structured learning, coaching and experiences.
  • Building Relationships: Cultivate strong working relationships with clients and support to key decision makers.
To qualify for the role, you must have
  • A bachelor's degree in Business, Analytics, Computer Science, Engineering, or a related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
  • Significant management consulting experience.
  • Proven history of developing and deploying AI solutions in real-world settings, ideally across multiple sectors.
  • Experience engaging directly with clients to assess their needs and propose AI-driven solutions aligned with business objectives.
  • Excellent analytical skills and the confidence to translate complex data into meaningful insights.
  • Experience leading small teams and mentoring junior professionals to ensure project success and knowledge sharing.
  • You must either reside in or be in a commutable distance to your office location for this position.
  • The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.
Ideally, you will have
  • An MBA with two years of related work experience or graduate degree with at least three years of related work experience, with a particular focus on client advisory or strategic planning within a professional services environment.
  • Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.
What we offer you
  • We offer a comprehensive compensation and benefits package where youโ€™ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, youโ€™ll decide how much vacation time you need based on your own personal circumstances. Youโ€™ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1โ€‘800โ€‘EYโ€‘HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EYโ€™s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

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