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H1B Machine Learning Jobs in Chicago, IL (NOW HIRING)

Lead Data Engineer, (Python, AWS)

Chicago, IL · On-site

$118K - $141K/yr

Work with a team of developers with deep experience in machine learning, distributed microservices ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Work with a team of developers with deep experience in machine learning, distributed microservices ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Work with a team of developers with deep experience in machine learning, distributed microservices ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Senior Data Engineer

Chicago, IL · On-site

$112K - $188K/yr

... analytics, machine learning models, and customer-facing applications. This role sits at the ... OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States ...

H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work ... We also build robust platforms powering data and machine learning, marketing, and customer service ...

Senior Data Engineer

Chicago, IL · On-site

$112K - $188K/yr

... analytics, machine learning models, and customer-facing applications. This role sits at the ... OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States ...

Senior Data Engineer

Chicago, IL · On-site

$112K - $188K/yr

... analytics, machine learning models, and customer-facing applications. This role sits at the ... OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States ...

Showing results 21-30

H1B Machine Learning information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do h1b machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for h1b machine learning in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is an H1B machine learning job?

An H1B Machine Learning job refers to a position in the field of machine learning offered by a U.S. employer to a foreign worker who is authorized to work in the United States under the H1B visa program. These jobs typically involve designing, developing, and deploying algorithms that enable computers to learn from data. H1B Machine Learning professionals may work on projects such as natural language processing, computer vision, or predictive analytics. Employers must sponsor the H1B visa, and the worker must have specialized knowledge and at least a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive as a machine learning engineer on an H1B visa?

To thrive as a Machine Learning Engineer on an H1B visa, you generally need a strong background in computer science, mathematics, and statistics, typically demonstrated by a relevant degree and practical experience. Proficiency in programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, while certifications like AWS Certified Machine Learning may be advantageous. Strong problem-solving abilities, effective communication, and adaptability help you collaborate across diverse teams and rapidly evolving projects. These skills and qualifications are vital for delivering impactful ML solutions and meeting the rigorous expectations of U.S. employers sponsoring H1B visas.

What are some common challenges H1B machine learning professionals face when adapting to a new work environment in the U.S.?

H1B Machine Learning professionals often encounter challenges such as adjusting to new workplace cultures, navigating different communication styles, and understanding expectations for collaboration and project ownership. Additionally, they may need to quickly familiarize themselves with the company’s tech stack and agile workflows while maintaining compliance with visa-related documentation. Building strong relationships with colleagues and proactively seeking mentorship can help ease the transition and accelerate professional growth.

What is the difference between H1B Machine Learning vs H1B Data Scientist?

AspectH1B Machine LearningH1B Data Scientist
Required CredentialsDegree in CS, ML, or related field; certifications like TensorFlow, AWSDegree in CS, Statistics, or related; certifications in data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsBusiness analytics, data analysis teams, consulting firms
Employer & Industry UsageTech firms, AI startups, R&D departmentsFinance, healthcare, e-commerce, consulting
Common Search & ComparisonYesYes

H1B Machine Learning and H1B Data Scientist roles often overlap in credentials and industry usage. Machine Learning specialists focus on developing algorithms and models, while Data Scientists analyze data to derive insights. Both roles are in high demand across tech and industry sectors, but their core responsibilities differ slightly, making them distinct yet related career paths.

What cities near Chicago, IL are hiring for H1B Machine Learning jobs?

Cities near Chicago, IL with the most H1B Machine Learning job openings:

Infographic showing various H1B Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering)

Capital One

Riverwoods, IL

$54.75 - $75/hr

Full-time

Posted 8 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Lead Software Engineer, DevOps (Cloud Operations Resilience Engineering)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One's foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.

What You'll Do:

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in DevOps Engineering (Internship experience does not apply)

  • At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

  • At least 4 years of Unix or Linux system administration experience


Preferred Qualifications:

  • 7+ years of DevOps Engineering experience

  • 4+ years of experience with coding and scripting (Python, Java, JavaScript, Bash, Perl or Ruby)

  • 4+ years of experience with technologies supporting Java/Springboot applications

  • 4+ years of experience using build and deployment tools (Jenkins, Docker)

  • 2+ years of experience with application runtimes (Websphere, JBoss, Apache Webserver)

  • 2+ years of experience with deploying clustered web services

  • 2+ years of experience working within Agile Development Practices

  • 2+ years of experience working with Observability tools (AppDynamics, NewRelic, Datadog etc)

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion


At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Riverwoods, IL: $179,400 - $204,700 for Lead Software Engineer











Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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