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Machine Learning Finance Jobs in Austin, TX (NOW HIRING)

... the financial industry and putting clients at the center of everything we do.    Schwab's AI ... Design and build   end-to-end   machine learning systems  by defining scalable, reliable, and ...

Staff Data Scientist

Austin, TX · On-site

$145K - $205K/yr

Joining Schwab means joining a company committed to transforming the financial industry and putting ... Design and build end-to-end machine learning systems by defining scalable, reliable, and ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Description • Work closely with data scientists, machine learning engineers, software engineers ... finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Description Work closely with data scientists, machine learning engineers, software engineers, and ... finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Description • Work closely with data scientists, machine learning engineers, software engineers ... finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and ...

One or more certifications in artificial intelligence, machine learning, Amazon Web Services ... Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ...

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work ... One or more certifications in artificial intelligence, machine learning, Amazon Web Services ...

Experience implementing or supporting AI, machine learning, or automation solutions within finance or enterprise systems * Ability to translate between business and technical teams * Excellent ...

Showing results 41-60

Machine Learning Finance information

See Austin, TX salary details

$24.8K

$91.8K

$134.3K

How much do machine learning finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning finance in Austin, TX is $91,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $108,000.00 per year, depending on experience, location, and employer.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the most commonly searched types of Machine Learning Finance jobs in Austin, TX?

The most popular types of Machine Learning Finance jobs in Austin, TX are:

What are popular job titles related to Machine Learning Finance jobs in Austin, TX?

For Machine Learning Finance jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Finance jobs in Austin, TX look for?

The top searched job categories for Machine Learning Finance jobs in Austin, TX are:

What cities near Austin, TX are hiring for Machine Learning Finance jobs?

Cities near Austin, TX with the most Machine Learning Finance job openings:

Infographic showing various Machine Learning Finance job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $91,795 per year, or $44.1 per hour.

Machine Learning Engineer - Sr. Consultant Level

Visa

Austin, TX • On-site

$152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 hours ago


Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

5th of 21 rated payment service providers


Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web application and web service development who will focus on crafting new capabilities for the AI Platform while maturing our code base and development processes. You are a dedicated developer who can work and collaborate in a multifaceted environment as a valued member of our Agile Scrum teams. You should have strong problem-solving abilities and be passionate about coding, testing and debugging skills. You know how to fill product backlog and deliver production-ready code. You must be willing to go beyond the routine and be prepared to do a little bit of everything.

As an integral part of the development team, you will sometimes explore new requirements and design, and at times refactor existing functionality for performance and maintainability. But the goal is always working on ways to make us more efficient and provide better solutions to our end customers. Flexibility and willingness to tackle new tasks as needed are significant to success. If this sounds exciting to you, we would love to discuss and tell you more about our work!

Essential Functions:

  • Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
  • Drive development effort End-to-End for timely delivery of high quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. Responsibilities span all phases of solution development.
  • Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved.
  • Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a detailed and timely manner.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.Preferred Qualifications 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Expert in at least one of the following: Golang, Java, or C/C++ Experience with web service standards and related patterns (REST, gRPC) Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing Experience implementing solutions for low-latency, distributed services using open standard technologies. Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce Experience with distributed caching technologies like Redis Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. Experience architecting solutions with Continuous Integration and Continuous Delivery in mind

U.S. Applicants Only

The estimated salary range for this positionis $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Visa logo

About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958