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Machine Learning Finance Jobs in Arizona (NOW HIRING)

LPL Financial

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85K - $143K/yr

Machine Learning & Modeling * Build, validate, and deploy supervised and unsupervised machine ... Financial services experience is a plus but not required. * Bachelor's degree in Statistics ...

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

Northern Trust, a Fortune 500 financial institution, is seeking an SVP AI Enterprise Architect to provide expert guidance and support in the areas of generative AI and machine learning. The role ...

Deloitte

Finance Analytics & AI Manager

Tempe, AZ

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 ...

USAA

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

At USAA, our mission is to empower our members to achieve financial security through highly ... Work with cross-functional team to contribute to machine learning projects throughout the machine ...

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ

$137K - $240K/yr

Professional certifications in AI, machine learning, cloud architecture, or enterprise architecture. * Experience with compliance and regulatory aspects of AI in financial services. * Proficiency in ...

USAA

AI/ML Engineer II

Phoenix, AZ · On-site

$116K - $139K/yr

At USAA, our mission is to empower our members to achieve financial security through highly ... Work with cross-functional team to contribute to machine learning projects throughout the machine ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Can you describe a project where you applied machine learning to solve a business problem in the insurance or financial domain * How do you ensure the quality and reliability of your data before ...

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All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Arizona

Machine Learning Finance information

See Arizona salary details

$23.3K

$86.3K

$126.3K

How much do machine learning finance jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning finance in Arizona is $86,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $101,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Finance position, 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 job?

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 Arizona? The most popular types of Machine Learning Finance jobs in Arizona are:
What are popular job titles related to Machine Learning Finance jobs in Arizona? For Machine Learning Finance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Arizona look for? The top searched job categories for Machine Learning Finance jobs in Arizona are:
Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Arizona as of June 2026, with employment types broken down into 51% Full Time, 47% Part Time, 1% Temporary, and 1% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $86,322 per year, or $41.5 per hour.

Machine Learning Engineer

Black Rock Group

Phoenix, AZ

$55.25 - $73.25/hr

Other

Posted 22 days ago

Job description

Machine Learning Engineer

Location: Phoenix, AZ (Onsite)

Required Skills

Machine Learning, Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD

Job Description

We are looking for a strong Machine Learning Engineer with hands-on experience in developing, deploying, and optimizing ML models in enterprise environments. The ideal candidate should have expertise in Classical Machine Learning, NLP, Python development, and scalable data processing systems.

Required Qualifications

Bachelor s or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field

Hands-on experience building and deploying Machine Learning models including Classical ML and NLP solutions

Strong understanding of ML algorithms, frameworks, libraries, and software architecture

Advanced Python programming experience; Java knowledge is a plus

Experience integrating ML models into existing applications in both batch and real-time environments

Strong SQL skills with experience writing complex queries and optimizing data pipelines

Experience with NoSQL databases is a plus

Familiarity with Big Data technologies such as Spark, PySpark, Hive, MapReduce

Working knowledge of UNIX/Linux commands

Experience using GitHub and CI/CD pipelines

Strong analytical, problem-solving, and communication skills

Experience with AI/ML governance in regulated industries is a plus

Preferred Experience

NLP model development

Enterprise-scale ML deployments

Real-time inference/API integrations

Financial services or highly regulated industry background

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