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Entry Level Machine Learning Jobs in Houston, TX

AMATROL

Assembly Technician

League City, TX

$19 - $21/hr

Familiarity with manufacturing processes (machining, welding, assembly, electrical) * Forklift ... Free access for our full eLearning library * Opportunity to advance your skills AND your pay!

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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 Houston, TX is $16.67, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $18.12 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 are the most commonly searched types of Machine Learning jobs in Houston, TX? The most popular types of Machine Learning jobs in Houston, TX are:
What are popular job titles related to Entry Level Machine Learning jobs in Houston, TX? For Entry Level Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Houston, TX look for? The top searched job categories for Entry Level Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Entry Level Machine Learning jobs? Cities near Houston, TX with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Entry Level Java/docker Jenkins Developer - Remote/Data scientist

Entry Level Java/docker Jenkins Developer - Remote/Data scientist

SynergisticIT

Houston, TX • On-site, Remote

Full-time

Posted 6 days ago

Job description

Unable to get Interviews or offers? Let’s get You Interviews and Offers with a Process! Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out.

Most job seekers blame their resume when they don’t get interviews, but the real issue is positioning. A degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness.

SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search.

It’s also one of the most fixable—because interview performance is rarely about intelligence. It’s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don’t learn how to present their skills under pressure.

SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.

Why do people fail interviews after doing CS or online courses? Typically it’s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the “why”) Poor project explanation (you built something, but can’t defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport. You don’t just watch videos; you practice real drills.

We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.

In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can’t convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).

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? If you’re already getting interviews, you’re closer than you think. Now it’s time to train like you mean it—and turn interviews into offers.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Form https://www.synergisticit.com/contact-us/ 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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