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Entry Level Machine Learning Jobs in Milwaukee, WI

Pwc

CTIO-AI Engineer-Sr Associate

Milwaukee, WI

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

A to Z Quality Fencing

Shop Assistant WI

Hartford, WI

$18 - $30/hr

In this entry level position, you will assist shop supervisors and project managers with a variety of tasks, while learning the basics of manufacturing including how to operate machinery. If you are ...

A to Z Quality Fencing

Shop Tech WI

Hartford, WI

$18 - $30/hr

In this entry level position, you will assist shop supervisors and project managers with a variety of tasks, while learning the basics of manufacturing including how to operate machinery. If you are ...

JX Truck Center

Shop Helper

Pewaukee, WI · On-site

$15.48 - $22/hr

From entry-level opportunities to experienced roles, this position is tailored for motivated and ... Learning through hands-on experience by helping other technicians, embodying our value of ...

JX Enterprises, Inc.

Shop Helper

Pewaukee, WI · On-site

$15.48 - $22/hr

From entry-level opportunities to experienced roles, this position is tailored for motivated and ... Learning through hands-on experience by helping other technicians, embodying our value of ...

JX Enterprises, Inc

Shop Helper

Pewaukee, WI · On-site

$15.48/hr

From entry-level opportunities to experienced roles, this position is tailored for motivated and ... Learning through hands-on experience by helping other technicians, embodying our value of ...

Winlandfoods

Maintenance Technician

Kenosha, WI · On-site

$37.05/hr

From entry-level tasks like stocking spare parts and assisting with basic repairs to advanced ... Whether you're learning foundational skills or leading major projects, you'll help minimize ...

Winland Foods, Inc.

Maintenance Technician

Kenosha, WI · On-site

$37.05/hr

From entry-level tasks like stocking spare parts and assisting with basic repairs to advanced ... Whether you're learning foundational skills or leading major projects, you'll help minimize ...

Winlandfoods

Maintenance Technician

Milwaukee, WI

$40.50/hr

From entry-level tasks like stocking spare parts and assisting with basic repairs to advanced ... Whether you're learning foundational skills or leading major projects, you'll help minimize ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for entry level machine learning in Milwaukee, WI is $17.21, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.70 per hour, depending on experience, location, and employer.

What Are Entry Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Milwaukee, WI? The most popular types of Machine Learning jobs in Milwaukee, WI are:
What are popular job titles related to Entry Level Machine Learning jobs in Milwaukee, WI? For Entry Level Machine Learning jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Milwaukee, WI look for? The top searched job categories for Entry Level Machine Learning jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Entry Level Machine Learning jobs? Cities near Milwaukee, WI with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Milwaukee, WI as of May 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Nights. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $35,791 per year, or $17.2 per hour.

Entry level Java spring boot developer/ data scientist

Synergistic it

Milwaukee, WI • On-site, Remote

Other

Posted 25 days ago

Job description

“Ghosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offers” - Get Hired with a Process which Works !

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employer‑ready candidates get through.

Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. If you’re getting interviews but not offers, you’re closer than you think—yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

The result is painful: “almost hired” over and over again, while the confidence drops. The truth is that interviewing is its own skill , and Colleges don’t teach it. They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer .

Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don’t know what the interview is truly measuring. Interviews rarely test “can you write code at home.” They test: Can you solve problems under constraints and time pressure?

Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices?

Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers . The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI , because those are the roles employers continue to hire for.

If your pattern is “I reach interviews but don’t clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don’t need to be perfect—you need to show you can think, collaborate, and deliver. That’s why guided mock interviews and structured interview coaching can be a game-changer.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in “screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven’t interviewed in years and feel rusty Career changers who fear “I’m behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If you’re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isn’t about trying harder—it’s about preparing smarter, practicing correctly, and having the right guidance.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

Work with java based application Perform application development for custom applications Designing and developing for enterprise class application using java technologies Enhancing existing java web applications Integrate application business layer with external application components Provide production support web applications Implement innovative web/software development technologies Using a variety of java based technologies Augment the application development team Manage the application development team Develop mobile applications and application interfaces Do analysis, design and hands on java development Develop software applications in client/server environment and/or web deployed applications Understand application requirements and develop software solutions Conduct testing on other developer's code Supporting an enterprise business application Develop web services components for cross-application solutions Implement complex web and database applications Develop and maintain web applications using C, (WPF, MVC, WCF, ASP) Develop components of multitier web application

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