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Senior Machine Learning Ops Engineer Jobs in Downers Grove, IL

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and off‑sites * Equipment and learning budget to help you do your best work and keep up with ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL

$126K - $166K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and offsites * Equipment and learning budget to help you do your best work and keep up with the ...

Albi

Senior Machine Learning Engineer (LLMs)

Chicago, IL · On-site

$126K - $166K/yr

... engineers * An environment that values deep work, clear thinking, and real impact * Regular team events and off-sites * Equipment and learning budget to help you do your best work and keep up with ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Moody

Machine Learning Engineer

Chicago, IL · On-site

$96 - $139/hr

Machine Learning Engineer (14907) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where ...

New

Socket.dev

Lead Machine Learning Engineer

Chicago, IL · On-site

$179 - $205/hr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Moody's Corporation

Machine Learning Engineer

Chicago, IL · On-site

$95K - $138K/yr

Expertise in Python programming, including machine learning libraries such as NumPy, Pandas, and PyTorch * Experience with machine learning operations practices, including continuous integration and ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Preferred Qualifications PhD in Mathematics, Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience with deep learning frameworks like TensorFlow or ...

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 machine learning models (e.g., propensity and segmentation models) while also building and ...

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Showing results 21-40

All JobsMachine Learning Ops Engineer JobsSenior Machine Learning Ops Engineer JobsSenior Machine Learning Ops Engineer Jobs in Downers Grove, IL

Senior Machine Learning Ops Engineer information

See Downers Grove, IL salary details

$59.4K

$126.3K

$183.1K

How much do senior machine learning ops engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior machine learning ops engineer in Downers Grove, IL is $126,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a senior machine learning ops engineer?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.

What are the key skills and qualifications needed to thrive as a senior machine learning ops engineer?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by senior machine learning ops engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Downers Grove, IL?

For Senior Machine Learning Ops Engineer jobs in Downers Grove, IL, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Ops Engineer jobs in Downers Grove, IL look for?

The top searched job categories for Senior Machine Learning Ops Engineer jobs in Downers Grove, IL are:

What cities near Downers Grove, IL are hiring for Senior Machine Learning Ops Engineer jobs?

Cities near Downers Grove, IL with the most Senior Machine Learning Ops Engineer job openings:

Senior Machine Learning Ops Engineer jobs near you

Senior MLOps Engineer / Databricks / AWS Bedrock / Remote

Motion Recruitment Partners, LLC

Chicago, IL • On-site

$107K - $147K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

An innovative data-driven marketing and technology organization is seeking a Mid-Level AI/ML Ops Engineer to help support and scale AI initiatives across the business. This full-time opportunity offers the chance to work with modern cloud technologies including AWS, Databricks, Docker, Kubernetes, CI/CD pipelines, and AI-powered platforms while helping deploy machine learning solutions into secure and reliable production environments.
This is an excellent opportunity for an operations-minded engineer who enjoys solving production challenges and improving platform reliability. The organization has built a strong reputation for investing in employee development, fostering collaboration, and creating an environment where engineers can deepen their expertise in AI infrastructure, cloud platforms, and MLOps best practices. You'll have direct exposure to cutting-edge AI projects and the opportunity to help shape operational standards as AI adoption continues to grow. Required Skills & Experience
  • 3-5 years of experience in MLOps, DevOps, Cloud Engineering, Platform Engineering, or similar roles
  • Experience deploying machine learning models into production environments
  • Strong knowledge of AWS cloud services
  • Experience with Databricks
  • Hands-on experience with Docker and Kubernetes
  • Proficiency in Python
  • Experience building and maintaining CI/CD pipelines
  • Familiarity with monitoring and observability platforms
  • Experience supporting production environments and troubleshooting incidents
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience
Desired Skills & Experience
  • Experience with AWS Bedrock, SageMaker, or other AI platforms
  • Exposure to large language model deployment and optimization
  • Knowledge of model monitoring and drift detection
  • SQL and data analytics experience
  • Infrastructure as Code experience
  • Experience supporting highly scalable cloud applications
What You Will Be Doing Tech Breakdown
  • 40% AWS Cloud Infrastructure
  • 25% Kubernetes & Container Platforms
  • 20% CI/CD & Automation
  • 15% Monitoring, Observability & Support
Daily Responsibilities
  • 75% Hands-On Engineering
  • 5% Management Duties
  • 20% Team Collaboration
The Offer
  • Bonus Eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) Program
  • Paid Vacation & Holidays
  • Professional Development Opportunities
  • Life Insurance
  • Employee Assistance Programs
  • Flexible Work Environment
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
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