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Mid Level Machine Learning Teaching Jobs in Burr Ridge, IL

Senior AI/ML Engineer

Oak Brook, IL ยท On-site

$105K - $144K/yr

Experience: 5+ years of professional experience insoftware engineering and production-level machine learning/AI. * CoreLanguages: Fluency inPython and strong expertise with modern ML frameworks ...

Showing results 21-40

Mid Level Machine Learning Teaching information

See Burr Ridge, IL salary details

$31.1K

$127.1K

$190.9K

How much do mid level machine learning teaching jobs pay per year?

As of Sep 13, 2026, the average yearly pay for mid level machine learning teaching in Burr Ridge, IL is $127,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $152,900.00 per year, depending on experience, location, and employer.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

What cities near Burr Ridge, IL are hiring for Mid Level Machine Learning Teaching jobs?

Cities near Burr Ridge, IL with the most Mid Level Machine Learning Teaching job openings:

Mid Level MLOps Engineer/Remote EST/CST

Chicago, IL โ€ข Remote

Motion Recruitment
Recruiting and Staffing Servicesย โ€ขย 501 - 1,000 employees

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

Our client is a global performance marketing organization operating at the intersection of brand marketing, technology, and analytics, helping businesses design and manage data-driven marketing and brand strategies. They are hiring for a Mid-Level AI/ML Ops Engineer to build and maintain the infrastructure, deployment pipelines, monitoring, and cloud systems that gets AI and machine learning models into production reliably, securely, and at scale.
This is a hands-on opportunity to own the operational backbone of a growing AI practice, working side by side with AI Engineers and the AI Tech Lead rather than setting architecture in isolation. You will take deployment and infrastructure requirements and turn them into dependable, monitored production systems, all while deepening your expertise across MLOps, cloud AI platforms, and LLM deployment. It is a great fit for someone who is detail oriented and reliability focused, stays calm and methodical when production issues come up, and wants room to grow into a stronger voice on the operational side of AI/ML.
Required Skills & Experience
  • Bachelorโ€™s degree in Computer Science, Engineering, or a related field, or comparable experience
  • 3-5 years of experience in DevOps, MLOps, data engineering, or a related infrastructure/operations role
  • Hands-on experience deploying machine learning models into production environments
  • Working knowledge of Databricks and cloud AI platforms (AWS preferred, including familiarity with services like Bedrock)
  • Experience with containerization and orchestration tools (Docker, Kubernetes or equivalent)
  • Proficiency in Python and familiarity with CI/CD tooling
  • Experience with monitoring and observability tooling for production systems
  • Solid understanding of data analytics fundamentals
Desired Skills & Experience
  • Familiarity with LLM deployment considerations (latency, cost, versioning)
  • Experience with SQL
What You Will Be Doing
Tech Breakdown
  • Databricks and AWS cloud AI platforms, including Bedrock
  • Docker and Kubernetes (or equivalent orchestration)
  • Python and CI/CD tooling
  • Monitoring and observability platforms
Daily Responsibilities
  • Build and maintain CI/CD pipelines for deploying AI/ML models into production
  • Implement monitoring and observability to catch performance degradation, drift, and failures early
  • Manage cloud infrastructure supporting AI workloads, including containerized services and cloud AI platforms
  • Collaborate with AI Engineers and the AI Tech Lead to translate requirements into deployment plans
  • Troubleshoot production issues and support model versioning, reproducibility, and rollback processes
  • Monitor and optimize the cost and resource efficiency of AI/ML workloads, flagging operational risks before they become incidents

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.