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.

Route Driver (Base Pay + Commission)

Company: Sodexo

Location: Rolling Meadows, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Assembly Technician, Sunday - Wednesday Shift

Company: Eaton

Location: Rock Island, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Club Bartender - Soho House Chicago

Company: Soho House

Location: Chicago, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Data NLU

Company: Wipro

Location: Chicago, IL

Posted Jan 27, 2025

View Details Apply on The Muse
passionate driven and highly motivated sales professionals top talent to help rapidly scale our hightech and hightouch labor marketplace proven track record of meeting and exceeding sales targets

Enterprise Account Executive

Company: Instawork

Location: Chicago, IL

Posted Jan 27, 2025

Instawork, a global labor marketplace, is seeking a passionate and experienced Enterprise Account Executive to scale their business across the US. The role involves identifying prospects, building relationships, and closing deals in the light industrial sector. The company offers a competitive compensation package, including a base salary of $110,000, eligible OTE of $230,000, and uncapped commissions. Instawork values diversity and is committed to creating economic opportunities for local businesses and skilled professionals.

View Details Apply on BuiltIn

Veterinary Assistant

Company: Banfield Pet Hospital

Location: Niles, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Principal Emerging Talent Program Manager

Company: Discover

Location: Riverwoods, IL

Posted Jan 27, 2025

View Details Apply on The Muse

(USA) Personal Shopper - Sam's

Company: Walmart

Location: Park Ridge, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Merchandising Lead

Company: Walmart

Location: Vernon Hills, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Intern, Bridges and Structures

Company: CN

Location: Homewood, IL

Posted Jan 27, 2025

View Details Apply on The Muse

Teacher at Rockland School

Company: KinderCare Learning Companies

Location: Mundelein, IL

Posted Jan 27, 2025

View Details Apply on The Muse

(USA) Pharmacy Tech Sam's

Company: Walmart

Location: Evanston, IL

Posted Jan 27, 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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