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Machine Learning Finance Jobs (NOW HIRING)

Itransition Group

NY · On-site

$100 - $140/hr

We are looking for a Machine Learning Researcher to design, develop, and evaluate predictive models for financial markets. You will work at the intersection of quantitative research, machine learning ...

Strivector Corp

Machine Learning

Manhattan, NY · On-site

They are seeking a Machine Learning professional capable of tackling research problems with commercial applications, applying technical expertise to real-world financial and operational challenges.

Jane Street

Machine Learning Engineer

New York, NY · On-site

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

Jane Street

Machine Learning Engineer

New York, NY

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

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company's Data Analysis and Machine Learning capabilities. They'll be working ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company's Data Analysis and Machine Learning capabilities. They'll be working ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... Our mission is simple: build strong and diverse communities through innovative financial technology ...

Apple

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About Poesis Whoever builds the leading intelligence for finance will create far more than returns ... About the Role At Poesis, machine learning and artificial intelligence open the door to improved ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be ... We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be ... We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ...

New

Unchain Data

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be ... We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be ... We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Interest in financial markets, intellectual curiosity, and comfort in working on open-ended ...

Paylocity

Machine Learning Engineer

... your finances. And if it's career development you desire, we provide that, too! At Paylocity ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

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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 13, 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

Itransition Group

NY • On-site

$100 - $140/hr

Other

Posted 8 days ago

Job description

We are looking for a Machine Learning Researcher to design, develop, and evaluate predictive models for financial markets. You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling.

office remote Poland

Requirements
  • 3+ years of relevant experience
  • Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow)
  • Hands‑on experience working with tabular/time series data with usage of ML
  • Solid understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross‑validation
  • Knowledge of statistical methods and probability theory
  • Experience with experiment design and offline evaluation
  • Ability to work with large datasets and build efficient data processing pipelines
  • Familiarity with SQL and data querying
  • Strong analytical and problem‑solving mindset
  • Ability to clearly communicate findings and trade‑offs
  • Ownership of tasks from research to implementation
  • Curiosity and willingness to explore new approaches
  • Level of English enough for efficient technical and business communication with native speakers
Nice to have
  • Experience in financial machine learning, quantitative finance, or trading systems
  • knowledge of signal generation, alpha research, portfolio construction or risk modeling
  • Experience with: Deep learning for tabular/time series data (Transformers, RNNs, etc.); Probabilistic modeling or Bayesian methods
  • Hands‑on experience with production ML systems (MLOps, monitoring, retraining)
  • Ability to define research direction and identify high‑impact opportunities
  • Ability to translate business problems into ML solutions
Responsibilities
  • Develop and validate machine learning models for financial time series and cross‑sectional data
  • Conduct research on alpha signals, feature engineering, and predictive modelling techniques
  • Design experiments and backtesting frameworks with proper statistical rigor
  • Work with large‑scale structured and unstructured financial datasets
  • Collaborate with engineering teams to deploy models into production pipelines
  • Analyze model performance, stability, and robustness under changing market conditions
  • Improve data pipelines, labeling strategies, and evaluation methodologies
We offer
  • Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
  • Competitive compensation that depends on your qualification and skills
  • Career development system with clear skill qualifications
  • Flexible working hours aligned to your schedule
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