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Entry Level Machine Learning Jobs in Allen, TX (NOW HIRING)

Teasdale Latin Foods

Equipment Operator

Carrollton, TX · On-site

$18.25 - $25/hr

As a Manufacturing Equipment Operator- Entry Level, you will play a crucial role in our ... Operate designated machinery and equipment within the manufacturing plant according to standard ...

RDO Equipment

Access Your Future Service Intern

Irving, TX · On-site

$20 - $23/hr

Our AYF Service Internship turns classroom learning into real-world skills. You'll spend your days ... Build your technical confidence by documenting machine details and repair work on service orders ...

RDO Equipment

Access Your Future Service Intern

Irving, TX · On-site

$20 - $23/hr

Our AYF Service Internship turns classroom learning into real-world skills. You'll spend your days ... Build your technical confidence by documenting machine details and repair work on service orders ...

Westrock

Utility II

Dallas, TX · On-site

As an entry level Manufacturing Worker, you will be responsible for overseeing the "end of the ... How you will impact WestRock: Operating Overhead Cranes Assist in threading paper machines ...

Braun Intertec

Office Administrator

Allen, TX · On-site

$16.75 - $23/hr

... learning, growth, and development; willingness to openly seek, receive, and give respectful ... Level II will be "entry level" for positions where Project Support is required upon hire. • ...

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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 Jun 9, 2026, the average hourly pay for entry level machine learning in Allen, TX is $16.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $17.64 per hour, depending on experience, location, and employer.

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 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 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.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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.

More about Entry Level Machine Learning jobs
What job categories do people searching Entry Level Machine Learning jobs in Allen, TX look for? The top searched job categories for Entry Level Machine Learning jobs in Allen, TX are:
What cities near Allen, TX are hiring for Entry Level Machine Learning jobs? Cities near Allen, TX 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 Allen, TX as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $33,790 per year, or $16.2 per hour.
junior full stack developer /Data scientist - Junior Level (Remote)

junior full stack developer /Data scientist - Junior Level (Remote)

SynergisticIT

Dallas, TX

$66K - $86K/yr

Other

Posted 13 days ago

Job description

“ Start getting Responses to your Job Applications? Get Interviews and Get Hired” Follow the process which works! Many job seekers feel stuck because the tech market has become more competitive, automated, and unpredictable.

But your career isn’t over — it’s simply waiting for the right push. Most job seekers send out hundreds of applications and hear nothing back. It’s not because you’re unqualified — it’s because your profile isn’t reaching the right people.

You’ve worked hard to build your skills, but employers won’t notice unless your profile is positioned correctly. If your applications disappear into a black hole, you’re experiencing the modern hiring funnel. Most resumes never reach a hiring manager.

They’re filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives. That’s why “I applied a lot” often leads to silence. The fix is not more applications.

The fix is improving what your application communicates in the first 10 seconds. Most rejections happen before a human ever sees your resume. Applicant tracking systems filter out thousands of qualified candidates every day.

SynergisticIT helps you beat the system by optimizing your resume, preparing you for technical interviews, and marketing your profile directly to Fortune 500 clients. No more getting lost in automated filters. Whether you’re a new grad, someone with a career gap, or a laid‑off developer, JOPP ensures your skills reach real hiring managers.

If you want to bypass the noise and get real opportunities, JOPP is built for you. Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and hundreds more. Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage.

Our purpose is to align your skills and profile with what employers are hiring for right now—so you get responses, interviews, and offers. Why you may not be getting replies Your resume lacks stack clarity (recruiters can’t quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: “What role are you targeting?”) You’re missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You’re not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. preparing you for screening, interview calls, technical rounds, and offer negotiation readiness.

Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today’s employers value candidates who can handle more than one layer of the system.

Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role. SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers). 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?

How OPT Students Can Land Tech Jobs – SynergisticIT If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ If recruiters aren’t responding, it’s not the end—it’s feedback. And you can fix it with the right plan. 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.

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