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Machine learning engineer Jobs in Chicago, IL

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Machine learning engineer • chicago il

Last updated: 9 hours ago

Machine Learning Engineer

ProsumREMOTE PST, CA, US
Remote
Permanent
Quick Apply

We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance.This role focuses on ...Show more

Machine Learning Engineer

Ontrac SolutionsChicago, Illinois, United States
Full-time

This role is ideal for junior-to-mid-level engineers with strong.Google Cloud Platform experience.The selected engineers will work under the direct guidance of a.MLOps execution, pipeline maintenan...Show more

Machine Software Engineer

Sciaky Inc.Chicago, IL, US
Full-time
Quick Apply

Established in 1939, Sciaky, Inc.Our wide selection of electron beam welders, electron beam additive manufacturing (EBAM ® ) solutions and advanced arc welders makes us the most versatile welding s...Show more

Learning Designer

StantecChicago, IL, United States
Full-time +1

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best.Our team of learning specialists tailor training programs to align with the goals...Show more

Senior Machine Learning Engineer (LLMs)

AlbiChicago, IL, US
Full-time
Quick Apply

We’re building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs.This is not a “prompt engineer” role.You’ll design, train, and ship domain-sp...Show more

Machine Learning Engineer

PayPalChicago, Illinois, United States of America
Full-time

Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.Anomaly Detection: Develop and refine algorithms for dete...Show more

Quantum Software Engineer - Machine Learning

InfleqtionChicago, IL, US
Full-time
Quick Apply

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...Show more

Machine Learning Engineer – Work From Home

Next Step Systems – Recruiters for Information Technology Jobs Top IT Recruiting FirmChicago, IL, USA
Remote
Full-time

Machine Learning Engineer – Work From Home.We are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.You will work in a collaborative team with...Show more

 • New!

Sewing Machine Operator

National Safety ApparelChicago, IL, US
Full-time
Quick Apply

We are looking for Sewing Machine Operators (industrial preferred) to operate machinery in our manufacturing facility.Will be part of a team producing apparel and/or leather gloves for the industri...Show more

Learning Design Manager

5H0 Hub International LimitedChicago, IL
Full-time

At HUB International, we are a team of entrepreneurs.We believe in protecting and supporting the aspirations of individuals, families, and businesses.We help our clients evaluate their risks and de...Show more

 • New!

Principal Machine Learning Engineer - VoIP Infrastructure

ServiceNowChicago, Illinois, United States
Full-time

PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-...Show more

Sr. Machine Learning Engineer

BrooksourceChicago, Illinois
Permanent

This role is for a contract Machine Learning Engineer responsible for delivering MLOps pipelines for production models leveraging both AWS and Databricks.Work collaboratively with Software Engineer...Show more

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia

IMC Financial MarketsChicago, IL, US
Full-time +1

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations.You'll collaborate with...Show more

Machine Learning Engineer

PayPalUSA, Illinois, Chicago, Corp, W Merchandise Mart Plaza
Full-time

Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.Anomaly Detection: Develop and refine algorithms for dete...Show more

Senior Software Engineer - Machine Learning

Uber FreightChicago, IL, United States
Full-time

Senior Software Engineer - Machine Learning.The Uber Freight team is building a better future for shipping.We believe that when shippers and carriers have the freedom to move together, the entire i...Show more

Machine Operator

LippertChicago, Illinois, United States
Full-time

Overview Who We Are: Lippert is a leading, global manufacturer and supplier of highly engineered products and customized solutions, dedicated to shaping, growing and bettering the RV, marine, autom...Show more

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorCicero, Illinois, US
Remote
Part-time

About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac...Show more

Machine Operator

Closets By Design Chicago DowntownChicago, IL, US
Full-time

Paid holidays and paid time off.Monday through Friday, no weekends, no required overtime.Health, Dental, and Vision insurance.Tools and equipment are provided.Open door policy with the owner.We are...Show more

Learning Specialist

Avis Budget GroupChicago, IL, United States
Full-time

At Avis Budget Group, we're driven to be the best vehicle rental company in the world, together.Our 25,000 employees raise the bar every day, bringing different perspectives, taking ownership, and ...Show more

People also ask
Machine Learning Engineer

Machine Learning Engineer

ProsumREMOTE PST, CA, US
30+ days ago
Job type
  • Permanent
  • Remote
  • Quick Apply
Job description
Machine Learning Engineer
Pay Rate: $75–$89/hour

Position Summary
We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design, development, deployment, and maintenance. This role focuses on building scalable, production-ready AI/ML solutions and ensuring seamless integration within existing systems.

The ideal candidate will collaborate with cross-functional teams to deploy, monitor, and optimize machine learning models that drive operational efficiency, innovation, and data-driven decision-making. This position requires strong experience in MLOps, DevOps practices, and cloud-based AI infrastructure.

Key Responsibilities
  • Design, build, deploy, and maintain machine learning models in production environments
  • Develop and manage end-to-end MLOps pipelines, including model versioning, monitoring, and automation
  • Implement scalable ML infrastructure using cloud platforms (AWS, Azure, or GCP)
  • Build and optimize CI/CD pipelines for automated testing and deployment of ML models
  • Collaborate with data scientists, data engineers, and DevOps teams to operationalize AI solutions
  • Monitor model performance, system health, and data drift; implement logging and alerting solutions
  • Ensure reliability, scalability, and performance of ML systems in real-time inference environments
  • Maintain version control for models and code to support reproducibility and collaboration
  • Apply best practices for testing, debugging, and performance optimization
  • Ensure compliance with data security, privacy, and regulatory standards
  • Create and maintain technical documentation for ML systems and processes

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
  • 3+ years of experience in machine learning engineering or MLOps
  • Hands-on experience managing the end-to-end machine learning lifecycle
  • Strong programming skills in Python, R, and/or SQL
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with containerization (Docker) and orchestration tools (Kubernetes)
  • Experience with infrastructure as code tools such as Terraform
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions)
  • Strong understanding of software development, system architecture, and deployment processes
  • Experience with monitoring, logging, and performance tuning of ML systems
  • Knowledge of version control systems (e.g., Git)

Preferred Qualifications
  • Master’s degree in Computer Science, Engineering, or a related field
  • Experience working with healthcare data or regulated environments
  • Familiarity with Electronic Health Record (EHR) systems
  • Experience with predictive modeling, natural language processing (NLP), and large language models (LLMs)
  • Knowledge of retrieval-augmented generation (RAG) frameworks and their applications
  • Understanding of agile methodologies and DevOps lifecycle practices

Core Competencies
  • Production-grade ML model deployment and lifecycle management
  • Scalable infrastructure design for AI/ML workloads
  • Cross-functional collaboration and technical leadership
  • Strong analytical and problem-solving skills
  • Effective technical communication and documentation