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Ml Infrastructure Engineer Jobs in Naperville, IL

ML Engineer

Chicago, IL · On-site

$180 - $260/hr

Contribute to secure, testable, and maintainable ML infrastructure. Required Qualifications * 3+ years of machine learning engineering experience in production environments. * Strong Python skills ...

New

Senior ML Engineer

Chicago, IL · On-site

$120 - $160/hr

As a Senior ML Engineer at Equiforte, you will develop, train, and deploy the machine learning ... Build and maintain the ML infrastructure that serves models in production with low latency and high ...

New

Azure/Databricks Infrastructure Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

About the role We're hiring for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the ... Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep ...

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems ... Experience with recommendation system infrastructure. * Strong grasp of classical ML concepts as ...

Optimize model performance and infrastructure for scalability, latency, and cost efficiency. AI Platform Engineering * Build and enhance enterprise AI/ML platforms with a focus on: * Automation

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Showing results 1-20

Ml Infrastructure Engineer information

See Naperville, IL salary details

$46.4K

$126.9K

$181.7K

How much do ml infrastructure engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ml infrastructure engineer in Naperville, IL is $126,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $140,800.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Naperville, IL?

For Ml Infrastructure Engineer jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Naperville, IL look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Ml Infrastructure Engineer jobs?

Cities near Naperville, IL with the most Ml Infrastructure Engineer job openings:

Infographic showing various Ml Infrastructure Engineer job openings in Naperville, IL as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $126,877 per year, or $61 per hour.

ML Engineer

Octave X

Chicago, IL • On-site

$180 - $260/hr

Other

Posted 3 days ago

New


Job description

You will work on model architecture, distributed training, inference optimization, and evaluation systems that power Tenzin and the broader Octave-X platform. The role bridges applied ML engineering and production reliability for regulated and high-trust environments.

Chicago, IL or Remote (US) Full-time $180,000 - $260,000 USD + equity

Role Snapshot

Team

Location

Chicago, IL or Remote (US)

Compensation

$180,000 - $260,000 USD + equity

About The Role What You Will Build

Design and train formally verified AI systems for enterprise workloads.

  • Build and optimize large-scale training and inference pipelines.
  • Ship evaluation suites for safety, reliability, and model quality.
  • Partner with product and infra teams to productionize new capabilities.
  • Improve observability for model behavior and drift detection.
  • Contribute to secure, testable, and maintainable ML infrastructure.
Required Qualifications
  • 3+ years of machine learning engineering experience in production environments.
  • Strong Python skills with deep experience in PyTorch and/or JAX.
  • Hands-on experience with distributed training and model serving.
  • Practical knowledge of transformer architectures and evaluation workflows.
  • Strong communication skills and ownership mindset.
Nice To Have
  • Formal methods, verification, or type-systems experience.
  • Experience in regulated domains such as healthcare, finance, or public sector.
  • Experience with GPU performance tuning and cost optimization.
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