Machine Learning Jobs in Chicago, IL

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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.

(USA) Cake Decorator

Company: Walmart

Location: Vernon Hills, IL

Posted Jan 24, 2025

Retail Print Sales Specialist

Company: Staples

Location: Glen Ellyn, IL

Posted Jan 24, 2025

Teachers at Stratford KinderCare

Company: KinderCare Learning Companies

Location: Glendale Heights, IL

Posted Jan 24, 2025

KinderCare Learning Companies, the first and only early childhood education provider recognized with the Gallup Exceptional Workplace Award, offers a variety of early education and child care options. They invest in teachers, center staff, and field leaders, who are considered the heart and soul of the business. The company provides comprehensive benefits, including discounted child care, medical, dental, and vision coverage, and employee assistance programs. KinderCare operates in more than 2,000 sites and centers across 40 states, committed to providing high-quality child care to all families, regardless of their background.

Account Executive

Company: GANNETT

Location: Peoria, IL / Remote

Posted Jan 24, 2025

Intern, Mechanical Reliability

Company: CN

Location: Homewood, IL

Posted Jan 24, 2025

Canadian National Railway Company (CN) is seeking a motivated individual for a full-time Intern, Mechanical Reliability position in Homewood, IL from May-Aug 2025. The role involves supporting the Mechanical department, preparing calculations and reports, integrating tracking plans, analyzing mechanical design choices, and contributing to project leadership. CN offers an exciting environment with opportunities for learning, growth, and recognition. Interns benefit from various activities including train yard tours, intern game-hours, case competitions, and learning sessions. The company is committed to safety, integrity, and inclusivity, with a 93% satisfaction rating for its internship program.

Prisma Cloud Sales Specialist - Healthcare

Company: Palo Alto Networks

Location: Chicago, IL

Posted Jan 24, 2025

Palo Alto Networks is a cybersecurity company committed to being the partner of choice, protecting the digital way of life. They value innovation, collaboration, and execution, with a focus on disruptive ideas and inclusivity. The company offers a comprehensive cloud-native security platform, with a broad coverage for applications, data, and the entire cloud-native technology stack. They are looking for an experienced Enterprise Account Manager with a proven track record in exceeding sales quotas, particularly in the healthcare sector. The role involves managing a territory, driving sales for Prisma Cloud security solutions, and achieving ACV sales quotas. The successful candidate will contribute to shaping the future of cybersecurity, benefiting from a supportive environment with personalized development programs.

Service & Engagement Team Leader

Company: Target

Location: Bloomington, IL

Posted Jan 24, 2025

Sr Lead Cybersecurity Architect

Company: JPMorgan Chase

Location: Chicago, IL

Posted Jan 24, 2025

The job posting is for a Senior Lead Cybersecurity Architect position at JPMorgan Chase. The role involves guiding cybersecurity principles, processes, and controls, providing technical guidance, and serving as a subject matter expert. The ideal candidate should have formal training in software engineering, hands-on experience in delivering enterprise-level cybersecurity solutions, and advanced knowledge in cybersecurity architecture and technical processes. The company offers a competitive total rewards package, comprehensive benefits, and values diversity and inclusion.

Retail Sales Associate

Company: Staples

Location: Northbrook, IL

Posted Jan 24, 2025

Patient Care Technician

Company: DaVita

Location: Sycamore, IL

Posted Jan 24, 2025

DaVita, an Italian term for 'giving life', is recruiting a Patient Care Technician for an outpatient dialysis center in Sycamore, Illinois. The role involves direct patient care, technician duties, and building relationships with patients suffering from end-stage renal disease. No dialysis experience is required, and DaVita offers comprehensive training, clear career advancement paths, and a supportive team environment. The position requires flexibility, comfort with blood and needles, and physical stamina for long hours on feet.

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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