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Software Engineer Ml Jobs in Texas (NOW HIRING)

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Site Reliability Engineer SRE - ML platform Location: Austin, TX OR Sunnyvale, CA Title: Site ... Ability to understand tools used by data scientists and experience with software development and ...

Site Reliability Engineer SRE - ML platform Location: Austin, TX OR Sunnyvale, CA Type: FTE Salary ... Ability to understand tools used by data scientists and experience with software development and ...

... software engineering to deliver scalable solutions that drive product innovation and customer value. Key Responsibilities * Design, develop, and deploy AI/ML algorithms for semiconductor inspection ...

... software engineering to deliver scalable solutions that drive product innovation and customer value. Key Responsibilities * Design, develop, and deploy AI/ML algorithms for semiconductor inspection ...

... software engineering to deliver scalable solutions that drive product innovation and customer value. Key Responsibilities * Design, develop, and deploy AI/ML algorithms for semiconductor inspection ...

... software engineering to deliver scalable solutions that drive product innovation and customer value. Key Responsibilities * Design, develop, and deploy AI/ML algorithms for semiconductor inspection ...

... software engineering to deliver scalable solutions that drive product innovation and customer value. Key Responsibilities * Design, develop, and deploy AI/ML algorithms for semiconductor inspection ...

Software Engineer (AI/ML)

Austin, TX · On-site

$98 - $166/hr

... software engineering to deliver scalable solutions that drive product innovation and customer value.Key ResponsibilitiesDesign, develop, and deploy AI/ML algorithms for semiconductor inspection ...

Principal AI/ML Software Engineer

Houston, TX · On-site

$128K - $172K/yr

Principal AI/ML Software Engineer Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA Workplace Type: Remote Req Id: 2909 Responsibilities Position Overview We are seeking a motivated AI ...

The AI Software Engineer will focus on optimizing machine learning models for efficiency and ... Build and maintain ML frameworks that enable the AI Scientist's experiments at scale. • ...

Showing results 21-40

Software Engineer Ml information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do software engineer ml jobs pay per year?

As of Aug 18, 2026, the average yearly pay for software engineer ml in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What does a software engineer ML do?

A Software Engineer, ML (Machine Learning) designs, develops, and deploys software systems that use machine learning algorithms to solve complex problems. They work on tasks such as building data pipelines, training and testing machine learning models, and integrating these models into production applications. They collaborate closely with data scientists, product managers, and other engineers to ensure that ML systems are scalable, efficient, and meet business objectives. Their work often involves programming, data analysis, and staying up-to-date with the latest developments in AI and machine learning.

What are the key skills and qualifications needed to thrive as a software engineer ML?

To thrive as a Software Engineer ML, you need strong proficiency in programming (especially Python), algorithms, machine learning theory, and a relevant degree in computer science or a related field. Experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud computing platforms and version control systems are typically required. Analytical thinking, problem-solving, and effective communication skills help you stand out in collaborative and complex project environments. These skills are vital to efficiently develop, deploy, and maintain robust machine learning solutions that drive business value.

What are some common challenges faced by software engineers working in machine learning, and how can they be addressed?

Software Engineers in Machine Learning often encounter challenges such as managing large datasets, ensuring model accuracy, and keeping up with rapidly evolving frameworks and tools. Collaboration with data scientists and domain experts is essential to align technical solutions with business goals. Staying current through continuous learning and leveraging cloud-based platforms or MLOps practices can help streamline workflows and improve model deployment. Additionally, effective communication within cross-functional teams is crucial for addressing both technical and non-technical challenges.

What job categories do people searching Software Engineer Ml jobs in Texas look for?

The top searched job categories for Software Engineer Ml jobs in Texas are:

What cities in Texas are hiring for Software Engineer Ml jobs?

Cities in Texas with the most Software Engineer Ml job openings:

Infographic showing various Software Engineer Ml job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.

Lead Software Engineer - AI/ML Lead Software Engineer

J.P. Morgan

Plano, TX

Full-time

Medical, Retirement

Posted 3 days ago

New


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 
As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking-Home Lending Servicing group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 
Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Designs and delivers scalable ML systems (batch and real-time inference), including data/feature pipelines, model training, evaluation, deployment, monitoring, and drift/performance management
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and ML systems (alerts, SLOs, auto-rollbacks, guardrails)
  • Leads communities of practice across Software Engineering and AI/ML to drive awareness and use of new and leading-edge technologies (MLOps, LLM patterns, feature stores, observability, model monitoring)

    Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience 
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations, experience coaching engineers on safe, compliant adoption within delivery practices
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

  • Experience applying ML to servicing or customer operations use cases (e.g., document understanding, classification, forecasting, contact center assist, workflow optimization)
  • Strong MLOps experience (e.g., MLflow-like tooling, model registries, feature stores, canary/shadow deployments, model performance/drift monitoring)
  • Experience with Responsible AI practices (bias/fairness testing, explainability, privacy-aware design) and working with risk/control partners in regulated environments
  • Familiarity with LLM-enabled architectures (RAG patterns, prompt/version management, evaluation, safety filters) and deploying them with enterprise controls
  • Experience building event-driven and streaming architectures for near-real-time ML signals
  • Mentoring/coaching experience and a track record of raising engineering quality via standards, reviews, and reusable frameworks

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits.  You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.