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Flexible Remote Machine Learning Engineer Jobs in Illinois

... all of Life Underwriting • Machine Learning Engineer with proven experience in legacy ... remote position. Application Deadline This position is anticipated to close on Aug 20, 2026. About ...

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Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

... Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary ... Remote-first with strong perks -- flexible vacation, paid sabbatical after 5 years, comprehensive ...

Senior Machine Learning Test Engineer

Ohio, IL · On-site +1

$104K - $135K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Candidates with experience in machine learning, large language models (LLMs), AI agents, and ... Flexible remote work environment. * Opportunity for career growth within a rapidly growing AI ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Dekalb, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Wheaton, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Flexible Remote Machine Learning Engineer information

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Illinois? The most popular types of Remote Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Flexible Remote Machine Learning Engineer jobs? Cities in Illinois with the most Flexible Remote Machine Learning Engineer job openings:
Infographic showing various Flexible Remote Machine Learning Engineer job openings in Illinois as of June 2026, with employment types broken down into 48% Full Time, 45% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 37% Physical, 4% Hybrid, and 59% Remote job distribution.

AI Machine Learning Engineer

TEKsystems

Bloomington, IL • Remote

$50 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Description

A large enterprise insurance company is seeking to add an AI/ML Engineer who can bridge modern AI technologies with legacy insurance platforms. This individual will play a critical role in transforming legacy Micro Focus COBOL and underwriting systems into modern, scalable AI-enabled solutions while serving as a technical lead, mentor, and modernization strategist.

The ideal candidate combines hands-on AI/ML development experience with a strong understanding of legacy environments, particularly mainframe and Micro Focus COBOL ecosystems. They will support and enhance existing AI-driven document summarization capabilities while helping define the next generation of underwriting and policy administration solutions.

They have very recently developed AI/ML workflows. Some of the APIs provide data and this side of AWS plus the prompt engineering side of it. Lambdas, Terraform code, API on data science side invoke the LLM. The LLM process joined with the prompts creates a summary of 2 pages and puts that back into the Java APIs.

This person will be mentoring and training on the AI strategy in this area for all of Life Underwriting

• Machine Learning Engineer with proven experience in legacy transformations (mainframe, Micro Focus COBOL, Linux)

• Experience working with or integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock, or similar)

• Experience with prompt engineering and fine-tuning techniques

• Solid understanding of legacy software development and deployment practices

• Strong proficiency in Linux, Java, Spring, Python, REST API development

• Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices

• Familiarity with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)

• Strong problem-solving skills and ability to work independently as well as collaboratively

Skills

Java, aws, terraform, artificial intelligence, machine learning, large language model, cobol

Additional Skills & Qualifications

Experience with Cobol and mainframe legacy applications / familiarity when modernizing platforms

Experience Level

Intermediate Level

Job Type & Location

This is a Contract position based out of Bloomington, IL.

Pay and Benefits

The pay range for this position is $50.00 - $70.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Aug 20, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.