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Associate Machine Learning Government Jobs in Buffalo Grove, 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 ... Seniority Level Associate * Industry * Marketing Services * Employment Type Full-time #J-18808 ...

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J.P. Morgan

Applied AI/ML Senior Associate

Chicago, IL

$60K - $61K/yr

Solid Understanding of algorithms in machine learning, AI, and neural network, including Large ... government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and ...

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL

$105K - $139K/yr

Active US Government security clearance. * 2+ years of experience deploying machine learning models into production environments. * 2+ years of experience working with large language models, natural ...

OneStream Software LLC

Associate AI Engineer

Chicago, IL · On-site

$99 - $128/hr

# Associate AI EngineerShareApply nowJob Details## Posting Details* + Posted on June 22, 2026 ... Our AI solutions incorporate applications across the AI and machine learning spectrum, including ...

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Showing results 1-20

All JobsAssociate Machine Learning Government JobsAssociate Machine Learning Government Jobs in Buffalo Grove, IL

Associate Machine Learning Government information

See Buffalo Grove, IL salary details

$32.3K

$136.5K

$322.5K

How much do associate machine learning government jobs pay per year?

As of Aug 30, 2026, the average yearly pay for associate machine learning government in Buffalo Grove, IL is $136,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $207,200.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in Buffalo Grove, IL?

For Associate Machine Learning Government jobs in Buffalo Grove, IL, the most frequently searched job titles are:

What cities near Buffalo Grove, IL are hiring for Associate Machine Learning Government jobs?

Cities near Buffalo Grove, IL with the most Associate Machine Learning Government job openings:

Associate Machine Learning Government jobs near you
Infographic showing various Associate Machine Learning Government job openings in Buffalo Grove, IL as of June 2026, with employment types broken down into 43% Full Time, 30% Part Time, and 27% Nights. Highlights an 100% In-person job distribution, with an average salary of $136,461 per year, or $65.6 per hour.

Machine Learning Engineer

Oakbrook Terrace, IL • On-site

Darwill, Inc.
Marketing • 201 - 500 employees
Learn more about Darwill, Inc.external

Full-time

Posted 4 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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