Machine Learning Engineer
Rockford, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Rockford, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer
Springfield, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Springfield, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Aurora, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Aurora, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Peoria, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Peoria, IL · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Machine Learning Engineer
Chicago, IL · Remote
$96K - $131K/yr
Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to ...
Machine Learning Engineer
Chicago, IL · Remote
$96K - $131K/yr
Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to ...
Hardware Machine Learning Engineer
Chicago, IL · On-site
$127K - $167K/yr
... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...
Hardware Machine Learning Engineer
Chicago, IL · On-site
$127K - $167K/yr
... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...
Machine Learning / Data Science Engineer
Chicago, IL · On-site
$118K - $141K/yr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning ...
Machine Learning / Data Science Engineer
Chicago, IL · On-site
$118K - $141K/yr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning ...
Machine Learning Lead
Chicago, IL · On-site
$175K - $235K/yr
Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Strong collaborator across Engineering, Product, and Ops Preferred Qualifications * Experience at ...
Machine Learning Lead
Chicago, IL · On-site
$175K - $235K/yr
Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Strong collaborator across Engineering, Product, and Ops Preferred Qualifications * Experience at ...
AI Machine Learning Engineer
Chicago, IL · Hybrid
$100K - $151K/yr
The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...
AI Machine Learning Engineer
Chicago, IL · Hybrid
$100K - $151K/yr
The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...
Quantum Software Engineer - Machine Learning
Chicago, IL · On-site
$100/hr
We are seeking a Quantum Software Engineer with expertise in quantum-inspired classical machine learning and quantum machine learning (QML). This role will focus on developing advanced ML models and ...
Quantum Software Engineer - Machine Learning
Chicago, IL · On-site
$100/hr
We are seeking a Quantum Software Engineer with expertise in quantum-inspired classical machine learning and quantum machine learning (QML). This role will focus on developing advanced ML models and ...
Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. Our team is:
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Our machine learning engineering team is responsible for developing infrastructure and tooling to help enable data driven decisions and insights at scale for millions of Paylocity users. Our team is:
Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...
Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...
Machine Learning Ops Engineer information
See Illinois salary details
$30.5K - $44.8K
1% of jobs
$44.8K - $59.1K
1% of jobs
$59.1K - $73.3K
5% of jobs
$73.3K - $87.6K
6% of jobs
$99.4K is the 25th percentile. Wages below this are outliers.
$87.6K - $101.9K
14% of jobs
$101.9K - $116.2K
14% of jobs
The median wage is $123.3K / yr.
$116.2K - $130.4K
18% of jobs
$130.4K - $144.7K
14% of jobs
$147.6K is the 75th percentile. Wages above this are outliers.
$144.7K - $159K
12% of jobs
$159K - $173.2K
11% of jobs
$173.2K - $187.5K
5% of jobs
$30.5K
$124.8K
$187.5K
How much do machine learning ops engineer jobs pay per year?
As of Jul 12, 2026, the average yearly pay for machine learning ops engineer in Illinois is $124,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.
What is a Machine Learning Ops Engineer job?
A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.
What does a typical day look like for a Machine Learning Ops Engineer?
A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.
What are the key skills and qualifications needed to thrive in the Machine Learning Ops Engineer position, and why are they important?
To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.
What are the most commonly searched types of Machine Learning Ops Engineer jobs in Illinois? The most popular types of Machine Learning Ops Engineer jobs in Illinois are:
What are popular job titles related to Machine Learning Ops Engineer jobs in Illinois? For Machine Learning Ops Engineer jobs in Illinois, the most frequently searched job titles are:
- Machine Learning Engineer From Home
- Contract Machine Learning Engineer
- Flexible Machine Learning Engineer Biotech
- Google Cloud Machine Learning Engineer
- Internship Machine Learning Engineer New Grad
- Scientific Machine Learning
- Machine Learning Infrastructure Engineer
- Senior Machine Learning Engineer
- Flexible Remote Machine Learning Engineer
- Help Nlp Engineer
What job categories do people searching Machine Learning Ops Engineer jobs in Illinois look for? The top searched job categories for Machine Learning Ops Engineer jobs in Illinois are:
Full-time
Posted 24 days ago
Job description
About Us
We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.
We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.
What You'll Be Working On
You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.
Must-Have Skills
3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production
Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)
Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior
Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives
Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)
Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination