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.

Clinical Dietitian I FT

Company: Aramark

Location: Chicago, IL

Posted Feb 06, 2025

View Details Apply on The Muse

Financial Advisor - No Experience Required

Company: Edward Jones

Location: Peoria, IL

Posted Feb 06, 2025

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Analyst - High Yield/Leveraged Loans Public Asset Group

Company: Allstate

Location: Chicago, IL

Posted Feb 06, 2025

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Barback - Soho House Chicago

Company: Soho House

Location: Chicago, IL

Posted Feb 06, 2025

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Phlebotomist

Company: CSL

Location: Chicago, IL

Posted Feb 06, 2025

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Patient Care Technician

Company: DaVita

Location: Mattoon, IL

Posted Feb 06, 2025

View Details Apply on The Muse

(USA) Exterior Services Technician

Company: Walmart

Location: Belleville, IL

Posted Feb 06, 2025

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Therapy Manager

Company:

Location: Belvidere, IL

Posted Feb 06, 2025

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Clinical Data Analyst

Company: The University of Chicago

Location: Chicago, IL

Posted Feb 06, 2025

Minimum requirements include a college or university degree in related field. A degree in Computer Science, Bioinformatics, Engineering, or a related field.

View Details Apply on SimplyHired

Career Educator at Lisle College Road KinderCare

Company: KinderCare Learning Companies

Location: Downer's Grove, IL

Posted Feb 06, 2025

View Details Apply on The Muse

(USA) Personal Shopper - Sam's

Company: Walmart

Location: Evanston, IL

Posted Feb 06, 2025

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(USA) Coach/Ops Mgr Trainee-2

Company: Walmart

Location: Edwardsville, IL

Posted Feb 06, 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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