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.

Patient Care Technician

Company: DaVita

Location: Bolingbrook, IL

Posted Jan 23, 2025

DaVita, an Italian term for 'giving life', is recruiting a Patient Care Technician (PCT) for an outpatient dialysis center. The role involves direct patient care, technician duties, and building relationships with patients. No dialysis experience is required, and DaVita offers comprehensive training and career advancement opportunities. The PCT will work under the supervision of a RN, handling tasks like monitoring patients, setting up hemodialysis machines, and educating patients about kidney dialysis. The company provides a rewards package including benefits, family resources, and opportunities for professional growth. The ideal candidate should be comfortable working around blood and needles, have physical stamina for long hours, and be willing to train and work across multiple clinics.

STARBUCKS/BARISTA

Company: Kroger

Location: Downers Grove, IL

Posted Jan 23, 2025

Software Engineer - Intern (North America-University)

Company: ZS

Location: Evanston, IL

Posted Jan 23, 2025

ZS Associates is seeking a Software Engineer Intern in Evanston, IL. The role involves designing and implementing web services, APIs, and full-stack functional modules with AI/Machine Learning. The ideal candidate should have a degree in computer science, electrical engineering, mathematics, or a related field, with 0-3 years of software product development experience. They should be detail-oriented, have expertise in OOPS, Python, Java Script/Angular, and RDBMS. ZS offers a comprehensive total rewards package, a flexible work environment, and a commitment to diversity and inclusion.

(USA) Area Manager - Floor (Consolidation)

Company: Walmart

Location: Minooka, IL

Posted Jan 23, 2025

The job involves communicating with various stakeholders, implementing business plans, monitoring productivity, maintaining quality and safety standards, and supervising and developing associates. Key expectations include respect for individuals, acting with integrity, serving the customer, striving for excellence, and leading by example. Walmart offers competitive pay, benefits including health, financial, and time-off benefits, and education programs. The annual salary range is $50,000.00-$100,000.00 with potential performance bonuses. Minimum qualifications include an associate's degree in business or logistics with supervisory experience, or a bachelor's degree in a related field, or equivalent work experience.

Registered Nurse Coordinator

Company: DaVita

Location: Chicago, IL

Posted Jan 23, 2025

Senior Solution Consultant

Company: Thomson Reuters

Location: Springfield, IL

Posted Jan 23, 2025

The Sr. Solution Consultant role at Thomson Reuters involves understanding complexities of Corporate Tax Departments, showcasing ONESOURCE solutions, and partnering with stakeholders for successful demonstrations. Key responsibilities include maximizing sales, driving revenue growth, and efficiently communicating tax technology benefits. The role requires a consultative approach, strong interpersonal skills, and expertise in indirect tax automation, tax compliance, and business process technology. Thomson Reuters offers comprehensive benefits, a culture of equality and diversity, and opportunities for professional growth.

Maintenance Technician

Company: Advanced Technology Services

Location: Peoria, IL

Posted Jan 23, 2025

ATS, founded in 1985, is a global industrial maintenance company with operations in the US, Mexico, and the UK. They specialize in improving factory performance through expert-level break-fix and preventative maintenance. Key responsibilities include troubleshooting, repairing, and maintaining machinery, sourcing parts, and participating in continuous improvement activities. The role requires a high school diploma or equivalent, technical degree, and relevant experience. Proficiency in electrical, mechanical, fluid power, and control systems is essential. Physical demands include standing, walking, lifting, and working in a loud, potentially hazardous factory environment.

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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