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Mid Level Machine Learning Teaching Jobs in Deerfield, IL

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Expert-level Github experience, including Github Actions * Strong object oriented development ...

... machine learning, and application development to solve high-priority people challenges. You will ... Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ...

CS/EE/CE Degree or similar experience. * 1-2 years of experience building and deploying production-level machine learning solutions or similar experience. * 1-2 years of strong programming experience ...

... machine learning, and statistical modeling. This role goes beyond model development to include ... Mentor and guide junior and mid-level data scientists, providing technical feedback and coaching.

The position requires deep expertise in applied machine learning, statistical modeling ... mid-level data scientists supporting the advanced analytics team. The Principal Data Scientist may ...

The position requires deep expertise in applied machine learning, statistical modeling ... mid-level data scientists supporting the advanced analytics team. The Principal Data Scientist may ...

The position requires deep expertise in applied machine learning, statistical modeling ... mid-level data scientists supporting the advanced analytics team. The Principal Data Scientist may ...

CS/EE/CE Degree or similar experience. * 1-2 years of experience building and deploying production-level machine learning solutions or similar experience. * 1-2 years of strong programming experience ...

Showing results 21-40

Mid Level Machine Learning Teaching information

See Deerfield, IL salary details

$32K

$130.9K

$196.8K

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

As of Aug 10, 2026, the average yearly pay for mid level machine learning teaching in Deerfield, IL is $130,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $157,600.00 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 job categories do people searching Mid Level Machine Learning Teaching jobs in Deerfield, IL look for? The top searched job categories for Mid Level Machine Learning Teaching jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Mid Level Machine Learning Teaching jobs? Cities near Deerfield, IL with the most Mid Level Machine Learning Teaching job openings:
Infographic showing various Mid Level Machine Learning Teaching job openings in Deerfield, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,950 per year, or $63 per hour.

Senior Software Engineer (Machine Learning)

Valor Equity Partners

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Re-posted 22 days ago


Job description

About Valor:
Valor Equity Partners is a different kind of private investment firm. We pioneered the idea of operational growth. We work side-by-side, shoulder-to-shoulder, to help grow the operations of great companies solving the world's biggest problems. We invest in technology and technology-enabled companies that innovate and disrupt existing industries - from biosciences to transportation to food to health and wellness. We've had the honor of serving some of the world's greatest entrepreneurs and companies, including Tesla, SpaceX, Anduril, Eight Sleep, GoPuff, and others.
Our values are core to all we do. These values are excellence, humility, integrity, and responsibility.
Valor means that we:
  • Strive for excellence in everything we do;
  • Maintain our humility and mutual respect no matter what circumstances we encounter;
  • Insist upon the highest level of integrity in our interactions and in the logic of our investment process; and
  • Demonstrate responsibility and dedication to all of our constituents.

About the Team:
On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making process. As a small team of software engineers and data scientists with diverse backgrounds, we work collaboratively on wide-ranging problems to deliver high-impact products for the Firm.
About the Role:
As a Software Engineer on our data science and machine learning team, you will contribute directly to the development of high-impact products. Working together with data scientists, engineers, and stakeholders, you will translate complex project requirements into actionable technical solutions and work collaboratively to build, deploy, monitor, and maintain those solutions in production. Your technical expertise and commitment to excellence will help drive the adoption of best practices and ensure the highest level of rigor in everything we do.
About You:
  • B.S. in Computer Science or related field
  • 5+ years of experience developing production-ready software systems
    • Although not necessary, prior work experience in financial services is highly valued
  • Expertise in end-to-end machine learning operations: model deployment, monitoring, and retraining, supporting integration with production data pipelines and API services.
  • Proficient with Python, especially machine learning libraries like NumPy, Pandas, Scikit-Learn, and PyTorch
  • Proficient with SQL, including transactional (e.g., PostgreSQL) and analytical (e.g., BigQuery) databases
  • Professional experience with most, if not all, of the following:
    • Containerization (e.g., Kubernetes and Docker)
    • Data processing (e.g., Prefect, Airflow, and dbt)
    • Parallel processing (e.g., Ray, Dask, and Spark)
    • Cloud infrastructure (e.g., Google Cloud Platform)
    • Continuous integration/continuous deployment (e.g. GitHub Actions)
    • Infrastructure as code (e.g., Terraform)
    • Tools to support machine learning operations (e.g., MLFlow and DVC)
  • Humble, hard-working, and collaborative