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.

Customer Service Associate

Company: Walgreens

Location: Rosemont, IL

Posted Jan 25, 2025

Pharmacist (Full or Part Time)

Company: Walgreens

Location: Tinley Park, IL

Posted Jan 25, 2025

Pharmacy Customer Service Associate

Company: Walgreens

Location: West Dundee, IL

Posted Jan 25, 2025

Customer Service Associate

Company: Walgreens

Location: Springfield, IL

Posted Jan 25, 2025

Customer Service Associate

Company: Walgreens

Location: Chicago, IL

Posted Jan 25, 2025

Pharmacy Intern Grad

Company: Walgreens

Location: Bloomington, IL

Posted Jan 25, 2025

Pharmacy Operations Manager

Company: Walgreens

Location: Rockton, IL

Posted Jan 25, 2025

Senior Data Science Analyst

Company: Discover

Location: Chicago, IL

Posted Jan 25, 2025

Discover is offering a job opportunity for an analytical professional with experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling, or Data Science. The role involves working closely with management to execute analytical initiatives, solving business problems using advanced analytics and machine learning, and creating reports and dashboards to monitor performance metrics. The company values diversity and offers a competitive total compensation package, including benefits like paid parental leave, paid time off, 401k plan, medical, dental, vision, health savings account, STD, life, LTD, and AD&D, recognition program, education assistance, commuter benefits, family support programs, and employee stock purchase plan. Discover is committed to a culture that values compliance and risk management, and is an equal opportunity employer.

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.

Related Pages