ML Engineer Jobs in Texas
ML Engineer jobs in Texas are among the most active in the country, with strong demand across aerospace and defense, enterprise software, financial technology, and energy tech at levels from entry-level through principal and staff engineer. Austin, Dallas, and Houston anchor most of the hiring, where companies like Dell Technologies, ExxonMobil, and AT&T maintain large technical operations and invest heavily in applied machine learning. The most sought-after specialties in Texas are natural language processing, MLOps and model deployment infrastructure, and computer vision tied to industrial and energy applications. Find a role that fits below and apply directly.
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Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel
Key Responsibilities:
- Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search (e.g., FAISS), and grounded, citation-backed responses
- Develop and maintain Python and SQL data pipelines (ETL/ELT) on AWS and Snowflake to support ML models, reporting, and personalization use cases
- Train, evaluate, and deploy ML models, including feature engineering from raw data and ongoing LLM evaluation for accuracy and reliability
- Build and expose REST APIs and microservices (e.g., FastAPI) that integrate AI capabilities into web and mobile applications
- Create KPI dashboards and automated reporting, and investigate production data issues to improve data quality and accuracy
- Apply CI/CD and automated testing to deliver reliable releases in a regulated environment
- Document pipeline architecture and experiments for reproducibility and knowledge transfer
This is a hybrid role with required 3 days a week on-site in Addison, TX. Role requires contractor time away (CTA), 5 days per quarter, as mandated by the client.
Basic Qualifications:
- A minimum of 3 years of professional experience in software, data, or AI engineering
- A minimum of 3 years of hands-on experience with Python and SQL for data processing and pipeline development
- A minimum of 1 year of experience building GenAI/LLM solutions (OpenAI APIs, RAG, embeddings, prompt engineering)
- A minimum of 1 year of experience with AWS (e.g., Lambda, SageMaker) and containerization (Docker)
- Bachelor's Degree
Preferred Qualifications:
- Experience with ML model training and deployment (PyTorch or similar) and feature engineering
- Experience building REST APIs and microservices (FastAPI, Spring Boot, or similar)
- Experience with CI/CD and automated testing
- Experience with Snowflake, Kubernetes, LangChain, or LlamaIndex
- Experience in financial services or another regulated environment
- Experience with BI tools (Power BI, Tableau) and data governance
- Experience with on-device or quantized model inference
- Full-stack exposure (React, Angular, Java/.NET)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 12/12/2026.
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
Accenture Flex Jobs
Role Location Hourly Salary Range
California $40 to $47
Colorado $40 to $47
Connecticut $44 to $47
District of Columbia $44 to $47
Illinois $44 to $47
Maine $44 to $47
Maryland $44 to $47
Massachusetts $44 to $47
Minnesota $44 to $47
New York $44 to $47
New Jersey $44 to $47
Ohio $44 to $47
Virginia $44 to $47
Washington $44 to $47
Irving, TX
Requesting an Accommodation
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
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We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
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See All 118+ ML Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find ML Engineer JobsML Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
ML Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Amazon Web Services31

- Striveworks6

- Meta4

- Q2ebanking3

- Lockheed Martin3

Top Industries Hiring
- Technology & Software
- Education
- Science & Research
- Banking & Financial Services
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in ML engineer jobs across Texas.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and core machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying production-grade machine learning models
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model hosting
- Ability to work with large structured and unstructured datasets using SQL and distributed computing tools
- Strong communication skills for presenting model results and tradeoffs to non-technical stakeholders
ML Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ml engineer in Texas?
ML engineering in Texas does not require a state-issued license. Most Texas employers expect a bachelor's degree in computer science, mathematics, or a related discipline, though many roles at major Texas tech and energy firms specify a master's degree. Building a portfolio of deployed projects, contributing to open-source machine learning repositories, and completing industry-recognized certifications in cloud ML services strengthens a candidacy considerably in this market.
Which companies hire ml engineers in Texas?
Employers hiring ml engineers in Texas right now include Amazon Web Services, Striveworks, and Meta, based on current listings on Migrate Mate as of November 2026. Texas's concentration of Fortune 500 headquarters, defense contractors, and large energy firms creates steady demand for machine learning talent across sectors beyond the typical software industry.
Which Texas cities have the most ml engineer jobs?
Austin, Dallas, and Houston have the most ml engineer openings in Texas. Austin's dense concentration of tech company headquarters and semiconductor firms drives the bulk of postings there, while Dallas's large enterprise software and financial services sector and Houston's energy and aerospace industries generate consistent demand in those metros.
Are there remote ml engineer jobs in Texas?
Yes, and more than most fields. About 88% of ml engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how much of the role involves writing code, running experiments, and reviewing results in cloud environments. Model research and experimentation work tends to be the most remote-friendly, while roles involving on-premises infrastructure or sensitive government and defense data are more likely to require in-office presence.
How can I get hired as a ml engineer in Texas with little or no experience?
The most realistic entry path is through a data analyst or data engineer role at a Texas employer that has an internal ML platform team, then transitioning once you have hands-on model work to show. Large Texas employers in energy and defense, including firms in the Houston and Dallas corridors, run associate data science programs and rotational engineering tracks that accept recent graduates. Building a public portfolio with end-to-end projects covering data preparation, training, and deployment gives candidates an edge over those with coursework alone.
Where can I find and apply to ml engineer jobs in Texas?
You can find and apply to ml engineer jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the available roles, find the ones that match your background and location preference, and apply directly to each employer through the listing.
See All 118+ ML Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find ML Engineer Jobs