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 - Segment Sales (North America)

Company: Eaton

Location: Chicago, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Injection Molding Setup Technician: 12 Hour 2-2-3 Night Shift with a 15% Differential. Sign-on Bonus Opportunity

Company: Jabil

Location: Gurnee, IL

Posted Jan 25, 2025

View Details Apply on The Muse

Pharmacy Pre-Grad Intern - WM

Company: Walmart

Location: Gurnee, IL

Posted Jan 25, 2025

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Pharmacy Technician / Pharm Tech Apprenticeship

Company: Walgreens

Location: Arlington Heights, IL

Posted Jan 25, 2025

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Customer Service Associate

Company: Walgreens

Location: North Riverside, IL

Posted Jan 25, 2025

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Food Production Worker

Company: Sysco

Location: West Dundee, IL

Posted Jan 25, 2025

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Customer Service Associate

Company: Walgreens

Location: DeKalb, IL

Posted Jan 25, 2025

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Veterinary Assistant- Chicago South Loop

Company: Banfield Pet Hospital

Location: Chicago, IL

Posted Jan 25, 2025

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Customer Service Associate

Company: Walgreens

Location: Lake Forest, IL

Posted Jan 25, 2025

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Customer Service Associate

Company: Walgreens

Location: Chicago, IL

Posted Jan 25, 2025

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Office Manager

Company: Equity Lifestyle Properties

Location: Amboy, IL

Posted Jan 25, 2025

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daily support liaison strong computer skills knowledge of SQL

Operations Associate

Company: Wolverine Trading

Location: Chicago, IL

Posted Jan 25, 2025

The job posting is for a role that involves daily support liaison with a clearing firm and trading group, including checking trades, resolving discrepancies, and reconciling trading position balances. The role also involves communicating with traders, checking trading positions, and working closely with related parties to resolve internal issues. The ideal candidate should have a Bachelor's degree, strong computer skills, knowledge of SQL, strong attention to detail, and excellent communication skills. Wolverine Trading offers a competitive salary, benefits, and opportunities for professional development. The company culture is team-oriented, with a flat organizational structure, and offers various perks such as free meals, an onsite gym, and company outings.

View Details Apply on BuiltIn

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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