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Associate Machine Learning Government Jobs in Chicago, IL

Vizient

Associate AI/ML Engineer

Chicago, IL · On-site

$68.50K - $116.30K/yr

In this role, you will develop and support machine learning and data-driven solutions that address business and operational challenges within enterprise platforms, including Palantir. You will ...

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Associate Machine Learning Government information

See Chicago, IL salary details

$32.5K

$137.1K

$324K

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

As of May 30, 2026, the average yearly pay for associate machine learning government in Chicago, IL is $137,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $208,100.00 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 the most commonly searched types of Machine Learning Government jobs in Chicago, IL? The most popular types of Machine Learning Government jobs in Chicago, IL are:
What are popular job titles related to Associate Machine Learning Government jobs in Chicago, IL? For Associate Machine Learning Government jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Government jobs in Chicago, IL look for? The top searched job categories for Associate Machine Learning Government jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Associate Machine Learning Government jobs? Cities near Chicago, IL with the most Associate Machine Learning Government job openings:
Associate Machine Learning Government jobs near you
Machine Learning Engineering Manager

Machine Learning Engineering Manager

United Airlines, Inc.

Chicago, IL • On-site

$118K - $141.60K/yr

Full-time

Posted 14 days ago

United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 330 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines

Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
Develops and programs integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.
  • Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
  • Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflow
  • Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
  • Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
  • Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
  • Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree in computer science, Engineering, or a related technical discipline
  • 4-8 years of experience in managing technical teams and projects
  • 4+ years of experience in full software lifecycle development using Python
  • 4+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies
  • 4+ years in software development in Python, Java, PySpark
  • 4+ Years of Experience with Machine Learning and Machine Learning workflows
  • 3+ years of experience designing an developing using technologies as Docker, Kubernetes
  • Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++
  • Understanding of machine learning principles and techniques
  • Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
  • Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
  • Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
  • Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
  • Knowledge of distributed systems as it pertains to compute and data storage
  • Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
  • Excellent oral and written communication skills
  • Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • AWS Certified Solution Architect (Associate or Professional)
  • Experience working as a Machine Learning Engineer or Data Scientist building and productionalizing machine learning solutions
  • Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
  • Experience with GPU acceleration (e.g. CUDA and CuDNN)
  • Experience with Kubernetes

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

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