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Machine Learning Finance Jobs (NOW HIRING)

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... financial data). * Collaborate with R&D to prototype autonomous resolution agents, anomaly ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... If you've never thought about a career in finance, you're in good company. Many of us were in the ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0245170 Machine Learning Engineer The Opportunity: As an experienced AI and ML ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Job Number: R0242766 Machine Learning Engineer The Opportunity: As an experienced AI and ML ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems.

Booz Allen Hamilton

Machine Learning Engineer

Alexandria, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... finance, infrastructure) Nice to Have * Experience deploying LLMs in production environments

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

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Showing results 41-60

All JobsMachine Learning Finance Jobs

Machine Learning Finance information

See salary details

$25K

$92.6K

$135.5K

How much do machine learning finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 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.

More about Machine Learning Finance jobs

What cities are hiring for Machine Learning Finance jobs?

Cities with the most Machine Learning Finance job openings:

What are the most commonly searched types of Machine Learning Finance jobs?

The most popular types of Machine Learning Finance jobs are:

What states have the most Machine Learning Finance jobs?

States with the most job openings for Machine Learning Finance jobs include:

What job categories do people searching Machine Learning Finance jobs look for?

The top searched job categories for Machine Learning Finance jobs are:

Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $92,631 per year, or $44.5 per hour.

Machine Learning Engineer

UnifyID (acquired by Prove)

Redwood City, CA

Full-time

Re-posted 13 days ago

Job description

About Prove (acquired UnifyID)
Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks. Prove's cloud solutions, and mobile intelligence-driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately while mitigating fraud. Prove's solutions are available in 195 countries.

For the latest updates from Prove, follow us on LinkedIn.

About the role
We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production.

UnifyID is building a platform to solve one the world's biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what's possible in production machine learning and on mobile devices.  Our data analytics platform can translate mobile sensor data from real-world human activity into a "digital fingerprint" with no conscious action from the user, all in real-time, and in a way that respects user privacy.  This is an opportunity to be a part of something truly unique and game-changing.

We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a "get stuff done" attitude.
Your day-to-day
  • Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform
  • Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems
  • Interface with our world-class machine learning research team to help turn core research into reality
  • Wrangle and perform experiments on petabyte-scale data sets
  • Wear many hats to make things happen in a dynamic startup environment
  • Bring your own unique expertise to the team and learn from others
  • Enjoy tight collaboration with your teammates
Ideal candidates will have...
  • Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care
  • Many "been there, done that" stories related to shipping and maintaining major software products for customers
  • Excellent coding skills in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...)
  • Experience working with high volumes of data, ideally with machine learning playing a critical role
  • Strong foundational knowledge of mathematics, bonus if related to machine learning or signals processing
  • A breadth of technical skills and know how to use the right tool for the job
  • High motivation and ability to learn new technologies and domains 
  • A positive can-do attitude and bring a passion for excellence to the workplace
  • Excellent collaboration and communication skills
  • Professional experience with AWS, Kubernetes a bonus
  • Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus
Join us!
As we continue to scale our company, we are looking for people who know how to make an impact. We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us - we work together and play together.

Prove has big plans; we're excited and optimistic about the future. If this sounds like a career for you - come check us out.

This team is located in the heart of Silicon Valley in downtown Redwood City and has unparalleled access to deep entrepreneurial expertise, high-caliber academic research institutions, and top-tier VC resources.

Finally, it is important that you be authentic and be yourself.

Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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