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Entrylevel Machine Learning Jobs in Houston, TX (NOW HIRING)

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Entrylevel Machine Learning information

See Houston, TX salary details

$24.4K

$40.7K

$84K

How much do entrylevel machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for entrylevel machine learning in Houston, TX is $40,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Machine Learning vs Data Analyst?

AspectEntrylevel Machine LearningData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some roles prefer Python, R, or ML certificationsBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentDeveloping models, coding, experimenting with algorithms in tech or research settingsInterpreting data, creating reports, and visualizations in business or corporate environments
Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing, healthcare sectors

Entrylevel Machine Learning roles focus on developing and implementing algorithms using programming skills, often in tech-driven environments. Data Analysts primarily interpret data, create reports, and support decision-making with visualization tools. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and presentation.

What cities near Houston, TX are hiring for Entrylevel Machine Learning jobs? Cities near Houston, TX with the most Entrylevel Machine Learning job openings:
Entry Level Java/docker Jenkins Developer - Remote/Data scientist

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

SynergisticIT

Houston, TX โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description

Unable to get Interviews or offers? Letโ€™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 donโ€™t get interviews, but the real issue is positioning. A degree gives you a foundation, but employers want more โ€” they want proof you can apply your knowledge in realโ€‘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 isnโ€™t just about knowing how to code โ€” itโ€™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.

Itโ€™s also one of the most fixableโ€”because interview performance is rarely about intelligence. Itโ€™s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they donโ€™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 employersโ€”companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many moreโ€”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 itโ€™s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the โ€œwhyโ€) Poor project explanation (you built something, but canโ€™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 onโ€”like a sport. You donโ€™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 / AIโ€”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 canโ€™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 youโ€™re already getting interviews, youโ€™re closer than you think. Now itโ€™s time to train like you mean itโ€”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 donโ€™t want to be contacted please donโ€™t submit your resume.