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Entry Level Machine Learning Jobs in Texas (NOW HIRING)

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on ... Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering ...

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... Support the development of reliable data foundations that enable future analytics, machine learning ...

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

Overview We are currently seeking an entry level Graduate Engineer- Electrical with 0-2 years of ... Prior experience or knowledge of coding and/or machine learning technologies * Applicants must be ...

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Entry Level Machine Learning information

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$11

$16

$20

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

As of Aug 21, 2026, the average hourly pay for entry level machine learning in Texas is $16.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $17.69 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 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Texas?

The most popular types of Machine Learning jobs in Texas are:

What are popular job titles related to Entry Level Machine Learning jobs in Texas?

For Entry Level Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Texas look for?

The top searched job categories for Entry Level Machine Learning jobs in Texas are:

What cities in Texas are hiring for Entry Level Machine Learning jobs?

Cities in Texas with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $33,844 per year, or $16.3 per hour.

Entry Level Technologist

Capgemini

Houston, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 224 rated it services


Job description

LAUNCH YOUR CAREER WITH SOGETI!

At Sogeti, part of the Capgemini Group, we empower new graduates to turn curiosity into solutions, creativity into client impact, and learning into accelerated career growth. If you're excited to solve complex challenges, work with emerging technologies, and collaborate with industry-leading clients across the U.S., this is your launchpad.

As an Entry-Level Technology Consultant at Sogeti, you will join one of our core practices based on your background and interests:

  • Applications, Cloud & Experience

  • Quality Engineering

  • Insights & Data

From your first day, you could be contributing to real client initiatives designing modern applications, enhancing digital experiences, supporting cloud transformations, engineering quality at scale, or turning data into business insight.

Artificial Intelligence touches every part of our work, giving you the opportunity to learn and build with the most innovative tools shaping the future of consulting.

What you will do at Sogeti:

  • Partner with clients to understand business challenges and contribute to solutions that matter.

  • Work on modern, high visibility projects using cutting-edge technologies.

  • Learn directly from experienced consultants through structured mentorship and ongoing development.

  • Explore emerging tech-from artificial intelligence/machine learning to cloud-native engineering-through internal communities and training paths.

  • Collaborate with national teams on projects that span industries including healthcare, retail, manufacturing, financial service, and more.

  • Build a career path with clear opportunities for advancement, certifications, and specializations.

What you will bring:

  • A bachelor-s degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field.

  • Strong analytical and problem-solving abilities, paired with a drive to learn fast and take on new challenges.

  • Clear, confident communication skills and a natural ability to collaborate with teammates and clients.

  • A passion for technology and curiosity about how innovative solutions can make a real impact.

  • A growth mindset demonstrated through your coursework, internships, side projects, leadership roles, hackathons, research, or self-taught exploration.

  • The enthusiasm to thrive in dynamic, fast-moving environments where teamwork and creativity fuel success.

Why Sogeti:

  • Impact. From day one, you may contribute to real-world projects, not just shadow work.

  • Professional growth. Certifications, mentorship, and career coaching are built into your experience.

  • Community. We-re big enough to offer enterprise-grade opportunities but small enough to know your name.

  • Work that matters. Our consultants shape digital transformation for clients across the U.S.

We are currently hiring college graduates into our Texas division, with openings available in

  • Houston

  • Austin

  • Dallas

If you are looking to launch your consulting career in one of these growing markets, we encourage you to apply and begin your journey with Sogeti.

Life at Sogeti - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work options

  • 401(k) with 150% match up to 6%

  • Employee Share Ownership Plan

  • Medical, Prescription, Dental & Vision Insurance

  • Life Insurance

  • 100% Company-Paid Mobile Phone Plan

  • 3 Weeks PTO + 7 Paid Holidays

  • Paid Parental Leave

  • Adoption, Surrogacy & Cryopreservation Assistance

  • Subsidized Back-up Child/Elder Care & Tutoring

  • Career Planning & Coaching

  • $5,250 Tuition Reimbursement & 20,000+ Online Courses

  • Employee Resource Groups

  • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being

  • Disaster Relief Programs

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [recruiter to insert $65,000

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company-s sole discretion, consistent with the law.

Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.


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