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Machine Learning Ai Developer Jobs in Texas (NOW HIRING)

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

AI Developer Industry: Oil & Gas / Energy Location: Dallas, Texas - onsite 5x a week Assignment ... machine learning function. The company offers a collaborative, fast-moving environment where ...

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

AI Developer Industry: Oil & Gas / Energy Location: Dallas, Texas - onsite 5x a week Assignment ... machine learning function. The company offers a collaborative, fast-moving environment where ...

AI DevOps Engineer

Plano, TX · On-site

$50.75 - $69.50/hr

Onsite Client address: 2900 W Plano Pkwy Plano, TX 75075 Years of experience required: 9+Y An AI DevOps Engineer is responsible for integrating artificial intelligence and machine learning models ...

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... We're looking for seasoned engineers with a background in machine learning to aid in this mission.

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Machine Learning Ai Developer information

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

Is machine learning AI developer a good career?

A machine learning AI developer is a highly in-demand role that involves designing algorithms and models to enable machines to learn from data. It offers strong job growth, competitive salaries, and opportunities across various industries such as technology, healthcare, and finance. Success in this field typically requires skills in programming, mathematics, and familiarity with tools like Python and TensorFlow.

What does a machine learning AI developer do?

A machine learning AI developer designs, builds, and maintains algorithms and models that enable computers to learn from data and make predictions or decisions. They work with programming languages like Python or R, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and engineers to deploy AI solutions in various applications.

What cities in Texas are hiring for Machine Learning Ai Developer jobs?

Cities in Texas with the most Machine Learning Ai Developer job openings:

Infographic showing various Machine Learning Ai Developer 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.

Machine Learning/AI Engineering Manager

Vangard, Inc.

Dallas, TX • On-site

Full-time

Posted 2 days ago

New


Job description

We are seeking a Machine Learning Engineering Manager to lead a high-performing team of Machine Learning Engineers responsible for building, operating, and evolving Vanguard's production AI, ML, and Generative AI solutions.

This leader will oversee engineering for a portfolio of traditional machine learning and GenAI capabilities that power investor personalization, financial planning, and advice experiences across Personal Wealth Technology. You will partner closely with Data Scientists, Product Owners, Architects, and Vanguard's Investment Strategy Group (ISG) methodology teams to transform sophisticated models and research into reliable, scalable, and trusted production solutions.

This is a highly technical leadership role. The successful candidate will be expected to actively participate in solution architecture, technical design, engineering strategy, model operations, production support, and Agile delivery while developing the next generation of AI engineering talent.

Responsibilities

  • Lead a team of Machine Learning Engineers delivering scalable, secure, reliable, and extensible AI solutions
  • Develop, maintain, support, and evolve a portfolio of production machine learning and generative AI models
  • Partner with Investment Strategy Group methodology teams to operationalize financial advice, portfolio construction, and personalization models
  • Ensure production readiness through monitoring, alerting, validation, testing, observability, and incident management practices
  • Drive engineering excellence, DevOps, MLOps, LLMOps, and FinOps disciplines
  • Shape AI and ML roadmaps alongside Data Scientists, Product Owners, and stakeholders
  • Provide technical direction and architectural guidance for complex AI and ML initiatives
  • Build trusted relationships across technology and business teams to influence strategy and delivery outcomes
  • Establish standards and best practices that enable safe, trustworthy, explainable, and scalable AI solutions
  • Drive adoption of GenAI and agentic solutions within the engineering organization to improve efficiency, automation, and delivery quality
  • Hire, coach, mentor, and develop future technical leaders

What You'll Own

  • Delivery, operation, and continuous improvement of Vanguard's production AI, ML, and GenAI platforms and solutions
  • Engineering ownership along with ISG Methodology for the Vanguard Financial Advice Model (VFAM) and Risk-Based Research Engine (RBRE)
  • Model health monitoring, observability, availability, and operational excellence across all production models
  • Reliability and support processes ensuring production AI systems remain resilient, trusted, and available
  • Technical leadership for Machine Learning Engineering, MLOps, LLMOps, DevOps, and FinOps practices
  • Team leadership, coaching, and development for a high-performing Machine Learning Engineering organization
  • Stakeholder relationships across Technology, Methodology, Product, and Analytics teams

Qualifications

  • Minimum of eight years data analytics, programming, database administration, or data management experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Preferred Qualifications

  • Proven experience leading Machine Learning, AI Engineering, or Software Engineering teams
  • Strong technical depth in production AI/ML systems and cloud-native engineering
  • Experience establishing operational excellence for production AI platforms
  • Demonstrated success partnering with product, analytics, and business stakeholders
  • Passion for developing engineering talent and building high-performing teams
  • Ability to balance strategic leadership with hands-on technical engagement
  • Interest in advancing modern engineering practices, including MLOps, LLMOps, FinOps, and agentic AI

Why This Role

  • Directly influence how Vanguard delivers personalized financial advice at scale
  • Lead engineering for some of Vanguard's most strategic AI and machine learning capabilities
  • Work at the intersection of financial methodology, applied AI, and large-scale engineering
  • Shape the future of GenAI, agentic systems, and AI engineering practices within Personal Wealth Technology
  • Develop a talented team while driving meaningful outcomes for millions of investors
  • Join a leadership team committed to innovation, engineering excellence, and investor-centric outcomes

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.