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Day Shift No Experience Machine Learning Jobs in Addison, IL

... learning several different stations and fabrication processes over time. The shop is clean, air ... Hiring on 2nd Shift * 2nd Shift: Monday - Thursday Responsibilities * Machine Operation: Run ...

... learning several different stations and fabrication processes over time. The shop is clean, air ... Hiring on 2nd Shift * 2nd Shift: Monday - Thursday Responsibilities * Machine Operation: Run ...

... learning several different stations and fabrication processes over time. The shop is clean, air ... Hiring on 2nd Shift * 2nd Shift: Monday - Thursday Responsibilities * Machine Operation: Run ...

... on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the ... Trading experience is a bonus, not a prerequisite. Your Core Responsibilities * Architect and co ...

... on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the ... Trading experience is a bonus, not a prerequisite. Your Core Responsibilities * Architect and co ...

Machine Learning Engineer

Chicago, IL · On-site

$62 - $100/hr

Experience in fine-tuning large language models (LLMs). * Previous experience in professional services or a similar industry, with an understanding of the unique challenges and opportunities it ...

... and Experience: Machine Setup: Get machines ready for the daily run. Assemble and take apart ... Run tests to ensure no harmful metals are in the food. Maintenance: Do quick fixes on machines.

Showing results 41-60

Day Shift No Experience Machine Learning information

See Addison, IL salary details

$25.5K

$42.7K

$88.2K

How much do day shift no experience machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for day shift no experience machine learning in Addison, IL is $42,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

What is the difference between Day Shift No Experience Machine Learning vs Data Analyst?

AspectDay Shift No Experience Machine LearningData Analyst
Required CredentialsBasic understanding of algorithms, no formal degree neededBachelor's in related field often preferred
Work EnvironmentTech companies, startups, or research labsCorporate offices, consulting firms, or finance
Employer & Industry UsageTech, AI, and software industriesBusiness, marketing, finance, and healthcare
Common Search & Comparison IntentEntry-level, no experience, beginner rolesData analysis, reporting, entry-level data jobs

While both roles may require basic technical skills, Day Shift No Experience Machine Learning positions focus on understanding algorithms and models with minimal experience, often in tech environments. Data Analysts typically analyze data sets to generate reports and insights, often requiring a degree. The roles differ in industry focus and skill sets but share an entry-level nature for those starting in data-related fields.

How to get into day shift no experience machine learning?

To get into a day shift machine learning role with no experience, focus on building foundational skills in programming languages like Python, understanding basic machine learning concepts, and gaining familiarity with tools such as scikit-learn or TensorFlow. Entry-level positions often require a relevant degree or certification, and demonstrating a willingness to learn through online courses or projects can improve your chances.

What are popular job titles related to Day Shift No Experience Machine Learning jobs in Addison, IL?

For Day Shift No Experience Machine Learning jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Day Shift No Experience Machine Learning jobs in Addison, IL look for?

The top searched job categories for Day Shift No Experience Machine Learning jobs in Addison, IL are:

What cities near Addison, IL are hiring for Day Shift No Experience Machine Learning jobs?

Cities near Addison, IL with the most Day Shift No Experience Machine Learning job openings:

Machine Learning Software Engineer 1

Crowe LLP

Oakbrook Terrace, IL • On-site

Full-time

Posted 8 days ago


Job description

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

About the Role We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy.
In order to further the Data Science Team strategic imperative of having a "Culture of reuse: tools, products, and processes.", the primary strategy of the Toolkit Team will be to develop generalizable tools for common problems and facilitate the sharing of code within/between projects.
Work within the Data Science Team to define common problems and identify opportunities in the existing codebase to solve current and future problems
Develop libraries and services to address common requirements for our machine learning products
Collaborate with data scientists to get their machine learning models from prototype to production
Champion the use and adoption of Toolkit libraries and services
Required Skills - Programming experience. Your job will require you to code. We mainly write in Python, so experience in this language is preferred. Familiarity with another lower-level language (C/C++, Go, etc) is a plus Software engineering experience. You enjoy software engineering and know your way around algorithm design and data structures. You are comfortable working in Linux-based systems and are familiar with using Docker to develop and deliver RESTful APIs. Additional experience in areas such as cloud computing, distributed systems, CI/CD, etc., is a plus. Capacity for autonomy. You won't be on your own on day one, but you will need the capacity to manage your time between research and tool development. Strong communication skills. You are comfortable adjusting how you discuss software engineering projects, from the technical details to high-level concepts, depending on your audience of software engineer teammates, data scientist collaborators, and non-technical business stakeholders.
Adaptable. Toolkit problems will involve different areas of computer science and machine learning skills, sometimes within the same problem. You can context shift depending on the problem and can adjust if new problems and/or requirements arise requiring rethinking the approach to solving a problem.
Detail oriented. Toolkit is focused on making tools that just work. You like to find edge cases and potential bugs in code, you go above and beyond developing use cases beyond the requested basics, and you are meticulous with following software engineering best practices, including writing maintainable code with clear documentation and comprehensive test cases.
Skills to Stand Out. You like to code and have interest in learning new technologies. You find it exciting to explore and/or improve libraries to help you solve a problem. Lifelong engineering. You want to stay up to date with regards to practicing engineering and you strive for continuous learning and improvement.
Curiosity about machine learning. You know a few things about learning algorithms, data preprocessing strategies, or some other interesting areas of machine learning that can help create more integrated and robust software solutions.
Outside field. You have an educational, research, or hobby background in an interesting area of software engineering, computer science, or related field that you believe gives you unique skills for approaching software engineering and/or machine learning problems

Essential Job Functions:

responsible for executing on tasks to achieve their project's overarching technical vision.
Responsibilities vary across the development lifecycle from supporting client intake conversations and conducting data exploration for new projects to ongoing feature development and bugfixes to support mature machine learning products in a software release cycle.
effectively execute on tasks for your assigned project(s) with some direction and support; your code quality reflects the team's standards.
Working within a finance and accounting firm, recognize and appropriately escalate risks and support assigned mitigations.
You support your team members' growth through pair programming, code review, and/or knowledge sharing.

We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

Crowe accepts applications for this role on an ongoing basis.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $62,000 - $100,000 per year.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe provides professional services through two separate entities: Crowe LLP delivers audit and attest services, and Crowe Advisory LLC provides tax, advisory, consulting, and other nonattest services.


The Crowe Global network consists of more than 300 independent accounting and advisory services firms in more than 150 countries around the globe, making it one of the largest accounting networks in the world*. As independent members of Crowe Global, Crowe LLP and Crowe Advisory LLC serve clients worldwide. (*As of July 2026)
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.


Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.


Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.

If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation


Crowe logo

About Crowe

Sourced by ZipRecruiter

Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

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