ML Engineer Visa Sponsorship Jobs in Illinois
Illinois is a strong market for ML engineer visa sponsorship, with Chicago anchoring demand across fintech, healthcare tech, and enterprise software. Major employers like Motorola Solutions, Discover Financial, and CME Group regularly hire ML talent. The University of Illinois pipeline also feeds a steady stream of sponsored roles throughout the state.
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Get Access To All JobsINTRODUCTION
Excellent Jr-mid level part-time consulting opportunity with the possibility of FTE. Professional experience working within GCP, handling validating accuracy and training the models REQUIRED!
ABOUT THE ROLE
This Jobot Consulting Job is hosted by: Craig Rosecrans.
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
SALARY
Salary: $40 - $65 per hour
A bit about us:
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production-bound machine learning solutions within GCP. This is an excellent opportunity for an early-career AI/ML engineer to gain hands-on experience with real-world model evaluation, LLM development workflows, and enterprise-scale applied AI systems.
WHY JOIN US?
- Part-time contract (~20 hours per week)
- Fully remote
- Flexible scheduling
- Opportunity to contribute to high-visibility enterprise AI development initiatives
Responsibilities
- Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability within GCP
- Assist with training dataset preparation, labeling, and refinement
- Contribute to prompt engineering experimentation and response testing
- Help monitor model performance and recommend improvements
- Collaborate with senior engineers on iterative model tuning and deployment readiness
- Document workflows, testing results, and evaluation methodologies
- Participate in ongoing experimentation supporting production AI solutions
BASIC QUALIFICATIONS
- 1–3 years of experience in Machine Learning, AI engineering, or applied data science
- Hands-on experience with Python for ML workflows
- Professional experience working in GCP (Google Cloud Platform) required
- Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
- Experience working with structured and unstructured datasets
- Exposure to model validation, testing pipelines, or evaluation frameworks
- Strong attention to detail and analytical problem-solving skills
- Ability to work independently in a distributed engineering environment
PREFERRED QUALIFICATIONS
- Experience supporting prompt engineering or RAG-style workflows
- Exposure to model fine-tuning or dataset optimization techniques
- Familiarity with evaluation tooling for LLM accuracy and hallucination detection
- Experience working alongside senior architects or research teams
- Background supporting enterprise AI initiatives or production-bound experimentation
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role and Jobot Consulting?
Click our Jobot Consulting logo and follow our LinkedIn page!
INTRODUCTION
Excellent Jr-mid level part-time consulting opportunity with the possibility of FTE. Professional experience working within GCP, handling validating accuracy and training the models REQUIRED!
ABOUT THE ROLE
This Jobot Consulting Job is hosted by: Craig Rosecrans.
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
SALARY
Salary: $40 - $65 per hour
A bit about us:
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production-bound machine learning solutions within GCP. This is an excellent opportunity for an early-career AI/ML engineer to gain hands-on experience with real-world model evaluation, LLM development workflows, and enterprise-scale applied AI systems.
WHY JOIN US?
- Part-time contract (~20 hours per week)
- Fully remote
- Flexible scheduling
- Opportunity to contribute to high-visibility enterprise AI development initiatives
Responsibilities
- Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability within GCP
- Assist with training dataset preparation, labeling, and refinement
- Contribute to prompt engineering experimentation and response testing
- Help monitor model performance and recommend improvements
- Collaborate with senior engineers on iterative model tuning and deployment readiness
- Document workflows, testing results, and evaluation methodologies
- Participate in ongoing experimentation supporting production AI solutions
BASIC QUALIFICATIONS
- 1–3 years of experience in Machine Learning, AI engineering, or applied data science
- Hands-on experience with Python for ML workflows
- Professional experience working in GCP (Google Cloud Platform) required
- Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
- Experience working with structured and unstructured datasets
- Exposure to model validation, testing pipelines, or evaluation frameworks
- Strong attention to detail and analytical problem-solving skills
- Ability to work independently in a distributed engineering environment
PREFERRED QUALIFICATIONS
- Experience supporting prompt engineering or RAG-style workflows
- Exposure to model fine-tuning or dataset optimization techniques
- Familiarity with evaluation tooling for LLM accuracy and hallucination detection
- Experience working alongside senior architects or research teams
- Background supporting enterprise AI initiatives or production-bound experimentation
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role and Jobot Consulting?
Click our Jobot Consulting logo and follow our LinkedIn page!
ML Engineer Job Roles in Illinois
See all 152+ ML Engineer Jobs in Illinois
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Search ML Engineer Jobs in IllinoisML Engineer Jobs in Illinois: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Illinois?
Several large Illinois employers have consistent track records of sponsoring ML engineers. Motorola Solutions, Discover Financial, CME Group, Allstate, and Uptake Technologies are among the companies that have filed for ML and data science roles. Chicago's dense concentration of fintech and enterprise software firms means sponsoring international ML talent is a normal part of hiring, not an exception.
Which visa types are most common for ML engineer roles in Illinois?
The H-1B is the most common visa for ML engineers in Illinois, as the role typically meets USCIS specialty occupation criteria given its degree requirements in computer science, statistics, or a related field. The O-1A is an alternative for candidates with demonstrated distinction in the field. Candidates already holding F-1 OPT or STEM OPT can work immediately while an employer pursues H-1B sponsorship.
Which cities in Illinois have the most ML engineer sponsorship jobs?
Chicago accounts for the overwhelming majority of ML engineer sponsorship jobs in Illinois. The city's West Loop and River North neighborhoods host many tech and fintech employers, while the suburbs of Schaumburg and Downers Grove are home to enterprise technology companies. Champaign-Urbana, anchored by the University of Illinois, also sees ML hiring, particularly in research-adjacent and startup roles.
How to find ml engineer visa sponsorship jobs in Illinois?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse ML engineer roles in Illinois without sorting through positions that won't support international candidates. The platform is built for this search, covering employers across Chicago's fintech, healthcare tech, and enterprise software sectors where ML sponsorship is most active.
Are there any Illinois-specific factors ML engineers should know about when seeking sponsorship?
Illinois follows federal prevailing wage requirements for H-1B positions, with Chicago wage levels generally reflecting a high-cost metropolitan area, which means sponsored ML roles tend to be well-compensated relative to national averages. The University of Illinois at Urbana-Champaign produces a significant volume of ML graduates, so Illinois employers are accustomed to hiring from that pipeline and understand the sponsorship process well.
What is the prevailing wage for sponsored ml engineer jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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