Machine Learning Jobs in Texas
Machine Learning jobs in Texas are among the most active in the country, with strong demand concentrated in aerospace and defense, enterprise software, financial technology, and energy analytics, and openings at every level from junior ML engineer through principal researcher. Austin, Dallas, and Houston are the primary hiring hubs, home to companies like Dell Technologies, AT&T, and ExxonMobil that maintain deep, lasting machine learning practices across their Texas operations. The most sought-after specialties include natural language processing, computer vision, and large language model fine-tuning. 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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See All 131+ Machine Learning Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Machine Learning Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Amazon Web Services32

- Striveworks6

- Meta4

- Q2ebanking3

- Lockheed Martin3

Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- E-Commerce & Online Marketplaces
- Retail
- Education
What Texas Employers Look For
The qualifications that appear most often in machine learning jobs across Texas.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience building, training, and deploying machine learning models in production
- Familiarity with cloud platforms, particularly AWS, Google Cloud, or Microsoft Azure
- Strong understanding of data preprocessing, feature engineering, and model evaluation methods
- Ability to communicate technical findings clearly to non-technical business stakeholders
Machine Learning Jobs in Texas: Frequently Asked Questions
How do you become a machine learning engineer in Texas?
Machine learning is not a state-licensed profession in Texas, so there is no required board exam or registration. Most employers expect a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for research-heavy roles. Building a portfolio of deployed projects and earning recognized certifications from cloud providers such as AWS or Google Cloud strengthens candidacy significantly in the Texas market.
Which companies hire machine learning engineers in Texas?
Employers hiring machine learnings 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 defense contractors, financial services firms, and major tech campuses means hiring is steady across both enterprise and high-growth company environments.
Which Texas cities have the most machine learning jobs?
Austin, Dallas, and Houston lead for machine learning openings in Texas. Austin's dense technology sector and headquarters campuses drive the highest concentration of roles, while Dallas benefits from major financial services and telecommunications employers, and Houston's energy companies and NASA-adjacent aerospace industry generate consistent demand for applied ML talent.
Are there remote machine learning jobs in Texas?
Yes, and more than most fields. Machine learning is a desk-based analytical discipline that lends itself well to distributed work. About 83% of machine learning openings tied to Texas are remote or hybrid as of November 2026, reflecting the nature of the role. Model development, experimentation, and research tasks in particular are most frequently offered with location flexibility.
How can I get hired as a machine learning engineer in Texas with little or no experience?
The most realistic entry path is through a data analyst or software engineer role at a Texas company that runs internal ML initiatives, then transitioning once you have relevant project exposure. Large Texas employers in aerospace and energy, including defense contractors in the Dallas-Fort Worth area, run associate engineer programs that welcome recent graduates. A portfolio of end-to-end projects on public repositories, combined with a cloud provider certification, gives candidates without professional ML experience a concrete edge.
Where can I find and apply to machine learning jobs in Texas?
You can find and apply to machine learning jobs in Texas on Migrate Mate, which lists current Texas openings updated regularly. Search the listings to find roles that match your experience level and specialty area, then apply directly to the ones that fit.
See All 131+ Machine Learning Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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