Machine Learning Jobs in Chicago, IL

21,986 open positions · Updated daily

Looking for Machine Learning jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Chicago, IL area.

Vice President, Product Health Solutions Strategy - Virtual!

Company: Alight Solutions LLC

Location: Chicago, IL / Remote

Posted Jan 25, 2025

View Details Apply on The Muse

Account Manager, Mid Market

Company: Meta

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse
cloudbased fullycustomizable endtoend software solution thought leadership in suitability and risk management industryleading education and the latest technology

Solutions Architect

Company: Supernova Technology

Location: Chicago, IL

Posted Jan 25, 2025

Supernova Technology, founded in 2014, offers a cloud-based, customizable software solution for securities-based lending. The Solutions Architect role involves gathering client needs, designing system architecture, and overseeing implementation. The company values innovation, collaboration, and continuous learning, with a robust benefits package including medical, dental, vision insurance, retirement savings, and more.

View Details Apply on BuiltIn

Inclusive Design Manager

Company: CapTech

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Consulting, Senior Consultant

Company: Deloitte

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Studio Manager, Chicago - SoulCycle

Company: Equinox

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Retail Merchandising Supervisor

Company: Staples

Location: Elk Grove Village, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Senior Majors Account Executive, Chicago

Company: Cloudflare

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse
leading flexible work app drive key account success frequent travel and require some weekend availability

Category Operations Manager

Company: Instawork

Location: Chicago, IL

Posted Jan 25, 2025

Instawork, a leading flexible work app, is seeking a Category Operations Manager to drive key account success, manage scalable in-market operations, and collaborate with cross-functional teams. The role involves frequent travel, customer-facing responsibilities, and a passion for problem-solving. The company offers competitive compensation, benefits, and a fast-paced, innovative work environment.

View Details Apply on BuiltIn

Electrical Service Account Representative - ASCO

Company: Schneider Electric

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Salesforce Marketing Cloud Technical Lead (Hybrid)

Company: Enova

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Application Engineer (Full Stack)

Company: Discover

Location: Riverwoods, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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