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Remote Director Machine Learning Jobs in Chicago, IL

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE: The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ...

UL Solutions

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

ABB

OEM Sales Director-Machinery

IL · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

BMO Capital Markets

Senior Data Scientist

Chicago, IL · On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

Tavern Research

Technical Art Director

Chicago, IL · On-site +1

$127K - $147K/yr

Chicago, IL (or remote for extremely well-qualified candidates) Office : 3 days/week in South Loop ... You know how to direct machine output the way a good director runs a shoot: knowing exactly what ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Chicago, IL

Remote Director Machine Learning information

See Chicago, IL salary details

$37.1K

$94.7K

$145.3K

How much do remote director machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote director machine learning in Chicago, IL is $94,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $109,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are popular job titles related to Remote Director Machine Learning jobs in Chicago, IL? For Remote Director Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Chicago, IL look for? The top searched job categories for Remote Director Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Director Machine Learning jobs? Cities near Chicago, IL with the most Remote Director Machine Learning job openings:
Remote Director Machine Learning jobs near you
Lead AI/ML Engineer - Remote

Lead AI/ML Engineer - Remote

UnitedHealth Group

Schaumburg, IL • On-site, Remote

$100K - $132K/yr

Full-time

Retirement

Posted 26 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 884 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Lead AI/ML Engineer within Optum Rx, you will lead the design, development, and scaling of advanced machine learning systems and artificial intelligence solutions that directly impact pharmacy benefits, patient care, and clinical workflows. You will serve as the technical lead for complex AI/ML initiatives, designing conversational virtual assistants and driving modern engineering practices across cross-functional teams. This role collaborates with enterprise architecture, capability teams, and vendors to architect robust, secure, and scalable solutions for our core conversational chatbot platform utilized by both internal and external stakeholders.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Lead the design, development, and production deployment of AI/ML solutions, translating models and algorithms into scalable, secure, and reliable software used in enterprise systems
  • Serve as a technical lead for complex AI/ML initiatives, owning end-to-end implementation from design through deployment and operational support
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across teams
  • Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions
  • Partner closely with product, business, and engineering stakeholders to identify high value use cases and deliver AI solutions that solve real OptumRx business problems
  • Lead AI solution architecture and design in collaboration with the Enterprise Architecture team, core capability teams, and major platform vendors (including Microsoft, Palantir, and MongoDB) to identify optimal designs for our core conversational chatbot platform
  • Maintain comprehensive solution architecture and network architecture diagrams for our core conversational chatbot platform utilized by multiple internal and external stakeholders
  • Drive modern engineering practices across teams, including automation-first development, code reuse, observability, and CI/CD adoption for AI systems
  • Champion AI/MLOps best practices, ensuring models and pipelines are production-ready, monitored, and continuously improved
  • Influence architectural decisions by applying broad domain and technology expertise to balance performance, scalability, security, and maintainability
  • Enforce and promote enterprise security, privacy, and quality standards within AI/ML solutions, proactively identifying and mitigating risk
  • Mentor and guide engineers across teams, acting as a subject-matter expert and escalation point for AI/ML engineering challenges
  • Communicate complex AI/ML concepts and results clearly to technical and non-technical audiences, including senior leadership
  • Evaluate emerging trends to inform solution design, optimize architecture, and drive strategic enterprise innovation

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree or equivalent experience; 4+ years of software engineering experience may substitute for a degree
  • 5+ years of professional software engineering experience using Python, Java, Scala, or similar programming languages
  • 3+ years of experience designing, training, and deploying machine learning or deep learning models into production systems
  • 2+ years of experience building and managing MLOps frameworks, continuous integration/continuous deployment (CI/CD) pipelines, and containerized deployments (e.g., Docker, Kubernetes)
  • 2+ years of experience writing SQL and working with relational or non-relational database systems (such as MongoDB)

Preferred Qualifications:
  • Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
  • Experience architecting, designing, and maintaining solution/network architecture diagrams for conversational chatbot solutions, virtual assistants, or natural language processing (NLP) applications
  • Experience collaborating with enterprise architecture teams and leading technical design discussions with cloud and platform vendors (e.g., Microsoft, Palantir, MongoDB).
  • Experience with Large Language Models (LLMs), prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
  • Proven solid understanding of data privacy, model governance, and ethical AI practices within the healthcare sector
  • Excellent communication and collaborative problem-solving skills, with a proven ability to lead technical initiatives and mentor team members

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 to $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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