1

Temporary Machine Learning Engineer Jobs in Lombard, IL

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

... 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 ...

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 ...

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 ...

The role involves designing and deploying machine learning models, collaborating with trading teams ... Required : • PhD or Master's in Engineering, Math, Statistics, Computer Science, or related ...

Showing results 41-60

Temporary Machine Learning Engineer information

See Lombard, IL salary details

$31K

$126.7K

$190.4K

How much do temporary machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for temporary machine learning engineer in Lombard, IL is $126,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Engineer vs Data Scientist?

AspectTemporary Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech or finance companiesResearch and analysis-focused, in tech, finance, or healthcare sectors
Employer UsageUsed for short-term ML projects, model deployment, or prototypingUsed for data analysis, insights, and predictive modeling

Temporary Machine Learning Engineers focus on implementing and deploying ML models on a short-term basis, often within project deadlines. Data Scientists analyze data to generate insights and develop models but may have a broader scope. Both roles require strong technical skills, but their primary functions differ in scope and application.

What job categories do people searching Temporary Machine Learning Engineer jobs in Lombard, IL look for? The top searched job categories for Temporary Machine Learning Engineer jobs in Lombard, IL are:
What cities near Lombard, IL are hiring for Temporary Machine Learning Engineer jobs? Cities near Lombard, IL with the most Temporary Machine Learning Engineer job openings:

Principal Machine Learning Architect

Stackruit Ltd.

Naperville, IL • On-site

$130 - $160/hr

Other

Posted 6 days ago


Job description

Principal Machine Learning Engineer About Egen

Egen is a dynamic, fast-growing company with a strong focus on data. We combine top engineering talent with advanced technology platforms like Google Cloud and Salesforce to help clients harness data for impactful insights. Our team thrives on solving tough problems, continuously innovating to achieve rapid, effective results.

Role Overview

We are seeking a Principal Machine Learning Engineer to join our Data Science team. This critical role involves developing and enhancing our MLOps platform. You’ll need a unique blend of cloud architecture expertise, AI/ML knowledge, and leadership skills to build and maintain a state-of-the-art MLOps environment.

Key Responsibilities
  • Architectural Leadership: Design and lead our MLOps platform architecture, focusing on GCP Vertex AI and Kubeflow.
  • Responsible AI Solutions: Develop solutions that ensure Responsible AI, including explainability, data drift detection, and fairness metrics, adhering to ethical AI practices.
  • Developer Experience: Enhance the MLOps platform for optimal developer experience, incorporating streamlined workflows and advanced tools.
  • Collaboration: Work with AI/ML experts across domains like Computer Vision, NLP, and synthetic data, integrating the latest advancements into the platform.
  • Reliability and Observability: Partner with the AI/ML Reliability engineering team to ensure platform reliability and observability.
  • Platform Development: Bring experience in platform teams, particularly in data and AI/ML, and expand platforms to on-premises and edge deployments.
  • Cross-functional Collaboration: Collaborate with cloud teams, data scientists, and product managers to align platform development with organizational goals.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
  • 10+ years of experience in technology or data fields.
  • Proficient in Python and other programming languages.
  • Strong background in AI/ML or Data Sciences technologies and platform development.
  • Broad knowledge across technology domains (data, cloud, UI, security).
  • Excellent communication, leadership, and project management skills.
#J-18808-Ljbffr