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Associate Machine Learning Jobs in Texas (NOW HIRING)

JP Morgan Chase

CCB Risk Program senior Associate

Plano, TX · On-site

$56K - $56K/yr

Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies - including deep learning architecture, transformer-based models, and LLMs - on big data platforms to ...

Lantern

Data Scientist

Dallas, TX

Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

Deloitte

AI Solutions Architect

San Antonio, TX

$56.75 - $74.75/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Deloitte

AI Solutions Architect

Austin, TX

$62.50 - $82.25/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Deloitte

AI Solutions Architect

Dallas, TX

$62.25 - $82/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Deloitte

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Texas

Associate Machine Learning information

See Texas salary details

$22K

$115.8K

$283.9K

How much do associate machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for associate machine learning in Texas is $115,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $160,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
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 Associate Machine Learning jobs in Texas? For Associate Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Texas look for? The top searched job categories for Associate Machine Learning jobs in Texas are:
What cities in Texas are hiring for Associate Machine Learning jobs? Cities in Texas with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Postdoctoral Research Associate

Postdoctoral Research Associate

The University of Texas at Arlington

Arlington, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 9 days ago

University Of Texas At Arlington rating

7.5

Company rating: 7.5 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

267th of 541 rated colleges and universities

Job description

Position Information
Posting Number F00751P Position Title Postdoctoral Research Associate Department Chemistry Location Arlington Job Family Faculty Position Status Full-time Rank Post-Doc Work Hours Standard Open to External and Internal FLSA Exempt Duration Job terminates Pay Basis Monthly Benefits Eligible Yes Job Summary
The research group of Dr. Kwangho Nam in the Department of Chemistry and Biochemistry, College of Science, at the University of Texas at Arlington invites applications for a Postdoctoral Research Associate position focused on QM/MM and Machine Learning Development, with Applications to Enzyme Mechanism Research.

This position is expected to start immediately.
About Professor Nam's research group
Dr. Nam's research, supported by NIH and Welch Foundation, focuses on the development of hybrid QM/MM methodologies, machine learning approaches, and advanced free energy simulation methods. These methods are applied to investigate enzyme catalysis, conformational dynamics, allosteric regulation, and drug discovery. The group utilizes state-of-the-art computational tools, including CHARMM, AMBER, OpenMM, and a range of quantum chemistry programs.
Benefits at UTA
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
Essential Duties and Responsibilities
Postdoctoral Research Associate will conduct research focused on the development and application of advanced QM/MM and machine learning methodologies to investigate enzymatic reaction mechanisms. Responsibilities include performing computational simulations, analyzing results and effectively communicating findings through written reports and oral presentations. The Postdoctoral Research Associate will work under the supervision of Prof. Nam while contributing independently to ongoing research projects.
Required Qualifications
Applicants must hold a Ph.D. in chemistry, physics, or a closely related field. The ideal candidate will demonstrate creativity, independence, and strong motivation. A solid background in computational and theoretical chemistry is required, including experience with molecular dynamics simulations, statistical mechanics, and electronic structure theory. Proficiency in scientific programming is essential, with experience in Python, Fortran, and parallel computing frameworks (e.g., MPI and OpenMP) and/or GPU-accelerated computing.
Preferred Qualifications Special Conditions for Eligibility Department Information
The UTA Chemistry and Biochemistry Department offers many specialized undergraduate degree programs that offer an excellent foundation in chemistry and biochemistry, and our graduate programs provide advanced training in a collaborative research environment which has the Carnegie Classification's highest rating: R1 Doctoral Universities - "Very High Research Activity." The UTA Chemistry and Biochemistry Department hosts 23 tenured and tenure-track faculty and several scientists conducting highly innovative and collaborative research. Guided by its Strategic Plan 2025: Bold Solutions/Global Impact, the University fosters interdisciplinary research and education within five broad themes: health and the human condition, sustainable communities, global environmental impact, data-driven discovery and culture and society transformations. Its strategic location in the heart of the Dallas-Fort Worth (DFW) metroplex also offers a rich environment for industry-university collaboration in research and development.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times' "Best for Vets: Colleges" and is the top university in North Texas for its graduates' salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 - including leaders at many of the 24 Fortune 500 companies headquartered in North Texas - UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university's strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100.
This is an exciting time to join UTA and contribute to its bold vision for the future.
Working Title EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
Posting Detail Information
Number of Vacancies 1 Desired Start Date 05/06/2026 Open Date 04/30/2026 Review Start Date Open Until Filled Yes Special Instructions to Applicants
To apply, applicants should go to https://apply.interfolio.com/185677 and submit the following materials:
Required Documents
  • Curriculum Vitae 
  • Cover Letter 
  • Contact References (provide one document with three contacts who may serve as recommenders).

Review of applications will begin immediately and will continue until the position is filled. Applicants are encouraged to apply early for the best consideration.
Questions may be addressed to Dr. Nam at Kwangho.nam@uta.edu.
For more information about UTA, please visit: http://www.uta.edu/uta. 

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