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Director Machine Learning Jobs in Illinois (NOW HIRING)

CNA

AI Governance Consulting Director

Chicago, IL · On-site

The Consulting Director, AI Governance partners closely with Technology, Security, Legal ... Advises on complex AI risk scenarios involving Generative AI, machine learning, large language ...

Cna

AI Governance Consulting Director

Chicago, IL

The Consulting Director, AI Governance partners closely with Technology, Security, Legal ... Advises on complex AI risk scenarios involving Generative AI, machine learning, large language ...

Jobtailor

Director, Growth

Chicago, IL · On-site

$180 - $260/hr

Familiarity with AI, machine learning, and predictive analytics * Knowledge of market research, competitive analysis, and customer segmentation techniques * Understanding of customer journey and ...

CNA

AI Governance Consulting Director

Chicago, IL · On-site

$97 - $189/hr

The Consulting Director, AI Governance partners closely with Technology, Security, Legal ... Advise on complex AI risk scenarios involving Generative AI, machine learning, large language ...

Motorola

Director of Computer Vision

Virginia, IL · On-site

Our AI-powered security solutions integrate advanced video analytics, machine learning, and ... The Director of Computer Vision will drive the technical vision, research and engineering execution ...

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Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Illinois

Director Machine Learning information

See Illinois salary details

$34.9K

$89.1K

$136.6K

How much do director machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for director machine learning in Illinois is $89,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $102,700.00 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 Illinois?

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

What are popular job titles related to Director Machine Learning jobs in Illinois?

For Director Machine Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Illinois look for?

The top searched job categories for Director Machine Learning jobs in Illinois are:

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

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

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,085 per year, or $42.8 per hour.

Sr. Director of Data Science Engineering

Health Care Service Corporation

Chicago, IL • Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryHCSC is recruiting for a leader in our Data Science Engineering function. The team is responsible for the engineering practices that bring AI and machine learning solutions to production at scale, including model deployment, MLOps, monitoring, and reliability. The Senior Director will lead a team of machine learning engineers who partner closely with data scientists, product managers, and IT to operationalize AI/ML solutions that deliver tangible business value.
This role is situated within the Data Science & AI Solutions team at HCSC, the central hub of data science work within the organization. Join our team of driven, fun, and accomplished builders, and help us advance HCSC's mission: to do everything in our power to support our members, in sickness and in health.
Please note, this is a HYBRID position and will require 3 days/week in-office hours at the respective office location.
Job Responsibilities:
Develop and implement strategic plans for the Data Science Engineering function, aligning with the organization's objectives.
Lead a team of machine learning engineers to design, build, and operationalize scalable AI/ML solutions in collaboration with data scientists, product managers, and business stakeholders.
Establish and evolve MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management for both traditional ML and generative AI systems.
Architect and oversee scalable, secure, and reliable infrastructure for model training, inference, and serving on cloud platforms.
Drive engineering best practices include code quality, automated testing, observability, reproducibility, and responsible AI principles.
Partner with IT, platform, and data engineering teams to integrate AI/ML solutions into enterprise systems and workflows.
Ensure policies and procedures align with the corporate vision, regulatory requirements, and industry best practices.
Foster effective communication and collaboration within the team, stakeholders, and management.
Recruit, develop, and evaluate personnel to ensure the efficient operation of the Data Science Engineering team.
Serve as a liaison and support effective communication and strategy between the team and stakeholders.
Oversee the budget and operations of the function, ensuring efficient resource allocation and alignment with goals.

Required Job Qualifications:

Bachelor's degree and 7 years of work experience in a computer science, engineering, or related field OR Master's degree and 6 years of work experience in a computer science, engineering, or related field OR Ph.D. and 4 years of work experience in a computer science, engineering, or related field

  • 4 years management or leadership experience.

  • Learning and growth mindset.

  • Customer-focused.

  • Interpersonal, verbal and written communication skills.

  • Must demonstrate proficiency in at least five and mastery in one of the following six areas:

1) software engineering and version control practices

2) machine learning model development and evaluation

3) MLOps, CI/CD, and model deployment

4) a high-level programming language (e.g., Python)

5) generative and agentic AI

6) understanding of healthcare.

  • Iterative and agile development practices.

  • Independently delivering or leading the delivery of machine learning engineering solutions for multiple complex analytics or data science projects and products.

  • Overseeing the annual budget and allocating resources for various projects and operational needs.

  • Translating needs and initiatives into compelling business cases.

  • Conducting cost-benefit analyses to justify investments and ensure ROI.

Preferred Job Qualifications:

  • Master's degree in a computational field, or Bachelor's degree with significant healthcare experience

  • Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native ML services

  • Experience with containerization (Docker, Kubernetes) and infrastructure-as-code

  • Experience with MLOps tooling (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Databricks)

  • Experience deploying and operating generative AI / LLM-based solutions, including LLMOps, RAG architectures, and vector databases

  • Experience with model monitoring, drift detection, and responsible AI tooling

LI-HYBRID

LI -AZ1

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$161,500.00 - $299,700.00

Exact compensation may vary based on skills, experience, and location.

Apply