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Vice President Machine Learning R Jobs in Glendale Heights, IL

Socket.dev

Machine Learning Engineer

Oakbrook Terrace, IL · On-site

$110 - $145/hr

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional ... VP of Data Engineering & Data Science Responsibilities / Essential Functions Data Engineering ...

Echo Incorporated

Vice President-IT

Lake Zurich, IL · On-site

$261 - $319/hr

The Vice President of Information Technology is a strategic enterprise leader responsible for ... machine learning, advanced analytics, digital workflows, and process automation where they create ...

ECHO

Vice President-IT

Lake Zurich, IL · On-site

$290K/yr

The Vice President of Information Technology is a strategic enterprise leader responsible for ... machine learning, advanced analytics, digital workflows, and process automation where they create ...

Echo Inc

Vice President-IT

Lake Zurich, IL · On-site

$221 - $270/hr

The Vice President of Information Technology is a strategic enterprise leader responsible for ... machine learning, advanced analytics, digital workflows, and process automation where they create ...

Stout Risius Ross, LLC

Vice President

Chicago, IL

Seeking a Vice President/Sr. Vice President for our growing Accounting & Reporting Advisory ... To foster employee development we offer ongoing training and learning opportunities, employee ...

Tribune Media

Vice President, Finance

Chicago, IL

* Reports to SVP, Finance * Partners with President, Broadcasting * Frequent interaction with EVP, ... Promote a culture of high performance and continuous improvement that values learning and a ...

WOWK-TV

Vice President, Finance

Chicago, IL · On-site

* Reports to SVP, Finance * Partners with President, Broadcasting * Frequent interaction with EVP, ... Promote a culture of high performance and continuous improvement that values learning and a ...

Milport Enterprises, Inc.

VP of Sales

Willow Springs, IL · On-site

$150 - $190/hr

The Vice President of Sales is responsible for leading and executing Rowell Chemical Corporation's sales strategy to drive profitable growth, strengthen customer relationships, expand market share ...

New

ADB

Vice President, Talent Development

Chicago, IL

Our ALL IN culture includes a focus on Safety, Wellness, Learning, Diversity and Inclusion, and giving back to our communities. The Vice President of Talent Development owns the strategy, budget, and ...

Wintrust

VP Model Risk Management

Rosemont, IL

$135K - $165K/yr

... Risk Vice President to join our Model Risk Management (MRM) team in Rosemont. As a key leader in ... Moderate knowledge of artificial intelligence and machine learning approaches (gradient boosting ...

New

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All JobsVice President Machine Learning R JobsVice President Machine Learning R Jobs in Glendale Heights, IL

Vice President Machine Learning R information

See Glendale Heights, IL salary details

$64.2K

$168.8K

$258.9K

How much do vice president machine learning r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vice president machine learning r in Glendale Heights, IL is $168,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $197,700.00 per year, depending on experience, location, and employer.

What cities near Glendale Heights, IL are hiring for Vice President Machine Learning R jobs?

Cities near Glendale Heights, IL with the most Vice President Machine Learning R job openings:

Vice President Machine Learning R jobs near you
Infographic showing various Vice President Machine Learning R job openings in Glendale Heights, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $168,828 per year, or $81.2 per hour.

Machine Learning Engineer

Darwill, Inc.

Oakbrook Terrace, IL • On-site

Full-time

Posted 12 days ago

Job description

Overview
Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing leaders drive measurable performance through advanced analytics, automation, and AI-powered insights.
We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional machine learning models (e.g., propensity and segmentation models) while also building and maintaining the core data pipelines on Databricks that power our analytics and modeling platforms.
This role is intentionally scoped for a mid-level engineer: someone with enough experience to work independently and make sound engineering decisions, but who is still hands-on, execution-focused, and eager to grow. This is not an entry-level position, and it is not a principal or architect-level role.
Location
Chicago, IL area (Oak Brook / West Suburbs)
Hybrid work model with 1-2 days onsite per week required
Reports To
VP of Data Engineering & Data Science
Responsibilities / Essential Functions
Data Engineering & Platform Foundations
  • Design, build, and maintain ETL pipelines in Databricks using Spark and Delta Lake
  • Independently implement data transformations, joins, and aggregations across large, multi-source datasets
  • Build and maintain data validation and quality checks to ensure reliability of downstream analytics and ML workflows
  • Optimize Databricks jobs for performance, scalability, and cost efficiency
  • Write and maintain clear technical documentation for data pipelines and tables

ML Engineering & MLOps
  • Partner closely with Data Scientists to support traditional ML model development, including feature engineering, training, validation, and deployment
  • Productionize propensity, ranking, and segmentation models used in large-scale marketing campaigns
  • Build and maintain repeatable ML pipelines for training, batch scoring, and inference
  • Implement model versioning, experiment tracking, and reproducibility standards
  • Support model performance monitoring, drift detection, and retraining cycles

Deployment, Monitoring & Operations
  • Deploy data pipelines and ML workflows into production environments serving millions of records
  • Implement monitoring and alerting for data and ML pipelines
  • Support A/B testing and model performance evaluation in partnership with Data Science
  • Troubleshoot production issues independently and collaborate effectively when escalation is needed

GenAI (Secondary / Directional)
  • Contribute to GenAI initiatives as capacity allows
  • Stay informed on emerging AI technologies and tooling
  • (GenAI is not the primary focus of this role today.)

Required Qualifications
Experience
  • 3-6 years of professional experience in machine learning engineering, data engineering, or a closely related role
  • Experience working in production environments with minimal day-to-day supervision
  • Demonstrated ability to collaborate effectively with Data Scientists and translate models into production systems

Technical Skills (Must-Have)
Data Engineering & Platform
  • Apache Spark (PySpark, SparkSQL)
  • Databricks (ETL pipelines, workflows, Delta Lake)
  • Strong SQL skills (complex queries, joins, window functions, optimization)
  • Experience building and maintaining scalable data pipelines

Programming & Machine Learning
  • Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred)
  • Feature engineering and data preparation for ML models
  • Working knowledge of supervised learning models (classification, regression, ranking)

MLOps & Production
  • Experience deploying ML models into production
  • Model versioning and experiment tracking (e.g., MLflow or similar)
  • Monitoring data quality and model performance in production
  • Supporting retraining and validation workflows

Cloud & Tooling
  • Experience with a major cloud platform (Databrick, AWS)
  • Familiarity with workflow orchestration tools (Databricks Workflows or similar)

Preferred Qualifications (Nice-to-Have)
  • Experience with propensity modeling, customer segmentation, or marketing analytics
  • Exposure to CI/CD concepts for data and ML pipelines
  • Experience with Docker or containerized deployments
  • Exposure to GenAI, LLMs, or RAG-based systems
  • Master's degree in Computer Science, Statistics, or a related field
  • Seniority Level
    Associate
  • Industry
    • Marketing Services
  • Employment Type
    Full-time
  • Job Functions

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