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Machine Learning Finance Jobs in Arizona (NOW HIRING)

Universal Avionics

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

Design and develop scalable AI solutions using machine learning models and tools * Ensure the ... Includes mental health, financial, legal, work-life, medical navigation, and life coaching support

Deloitte

Oracle AI Manager

Tempe, AZ · On-site

... machine learning operations, continuous integration/continuous delivery pipelines, and DevOps practices Experience applying AI solutions in finance, healthcare, or supply chain environments ...

Sedgwick

Principal Data Scientist

Tucson, AZ · On-site

... Financial Services & Insurance Principal Data Scientist Job Responsibilities * Lead the design and development of advanced statistical and machine learning models that improve claims outcomes ...

AssetMark

Vice President, Analytics

Phoenix, AZ

AssetMark's mission is to enable financial advisors to make a profound difference in the lives of ... Champion the adoption of predictive analytics, AI, and machine learning for business process ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$100K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ...

Deloitte

Lead AI and Data Solutions Engineer II

Tempe, AZ · On-site

$98K - $129K/yr

... approaches for data platforms, machine learning solutions, and application integrations ... Experience serving clients in financial services, health care, consumer, or government sectors

Qualcomm

Multimedia Architect

Tempe, AZ · On-site

... machine learning solutions within a domain. • Acts as a technical lead for teams developing ... finances, and/or the ability to meet objectives; errors are not readily apparent due to the ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Machine Learning & Predictive Analytics: * Develop and deploy AI/ML models that power key products ... Perform feature engineering using clinical, operational, and financial data * Experiment with ...

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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 Jul 4, 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 job makes $1,000,000 a year?

In the field of machine learning finance, highly senior roles such as Chief Data Officer or Quantitative Hedge Fund Manager can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and expertise in algorithms, financial modeling, and programming tools like Python or R.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning within finance or technology sectors, often involving advanced skills in data analysis, programming, and model development. Such roles may include AI research scientists, machine learning engineers, or senior data scientists, and usually require extensive experience, specialized certifications, and proficiency with tools like Python, TensorFlow, or cloud platforms.

Can machine learning be used in finance?

Machine learning is widely used in finance for tasks such as risk assessment, fraud detection, algorithmic trading, and portfolio management. Machine learning finance professionals develop models using programming languages like Python and tools such as TensorFlow or scikit-learn to analyze large datasets and improve decision-making processes.

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 is the salary of ML in finance?

Machine Learning professionals in finance typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior roles or those with advanced skills in data analysis, programming, and financial modeling can earn higher salaries, often exceeding $200,000 with bonuses and incentives.

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
AI-ML Engineer 1

AI-ML Engineer 1

Universal Avionics

Tucson, AZ • On-site

$98K - $118K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Summary
We are seeking a motivated and detail-oriented AI/ML Engineer I to join our team. This entry-level position plays a critical role in supporting the design, development, and optimization of scalable AI and machine learning solutions. The ideal candidate has a strong foundation in computer science and data science concepts and is eager to grow within a collaborative and fast-paced environment.Essential Duties and Responsibilities include the following. Other duties may be assigned.
  • Design and develop scalable AI solutions using machine learning models and tools
  • Ensure the scalability, reliability, and performance of AI systems through development and testing
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithms
  • Conduct research and testing to build machine learning algorithms and predictive models
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasets
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learn
  • Integrate, test, and monitor AI solutions in production environments
  • Collaborate with cross-functional teams to support project goals and solution implementation

Competency
To perform the job successfully, an individual should demonstrate the following competencies.
Technical Skills
  • Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial.
  • Machine Learning: Knowledge of basic algorithms (linear regression, decision trees, k-NN, etc.) and supervised/unsupervised learning techniques.
  • AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Handling: Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and NumPy.
  • Big Data Tools: Exposure to tools like Spark or Hadoop is a plus.
  • Cloud Computing: Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker.

Analytical & Problem-Solving
  • Ability to break down complex problems into solvable components.
  • Experience in basic model evaluation (precision, recall, F1 score).
  • Comfort working with statistical concepts and metrics.

Software Development
  • Understanding of software engineering best practices: version control (Git), testing, and debugging.
  • Exposure to containerization tools (Docker, Kubernetes) is a bonus.

What We Offer:
  • Benefits eligibility starts on your first day as a full-time employee at Universal Avionics.
  • Medical insurance (multiple plan options, including low-deductible PPO)
  • Preventive care covered at 100%
  • Affordable copays for doctor visits, urgent care, and prescriptions
  • Teladoc virtual care access
  • Vision coverage through VSP (includes exams, frames, and lenses)
  • Dental insurance (covers preventive, basic, and major services)
  • 401(k) with immediate safe harbor match (100% match on up to 4% of pay after 60 days)
  • 9/80 work schedule option - every other Friday off
  • Vacation, sick time, and 14 paid holidays (including a week in December)
  • Tuition reimbursement
  • Gym reimbursement
  • Wellness programs:
    • One Pass Select (discounted access to gyms, fitness apps, and more)
    • Travel assistance and employee discounts
  • Employee Assistance Program (EAP) and emotional wellness support:
    • Up to 3 free counseling visits per issue/year through Reliance Matrix
    • Up to 6 free counseling sessions per issue/year through Health Advocate
    • Includes mental health, financial, legal, work-life, medical navigation, and life coaching support
  • And more!

Why You'll Love Working Here:
  • Universal Avionics offers the best of both worlds: the close-knit, agile culture of a mid-sized company, with the resources and global impact of our parent company, Elbit Systems.
  • Our team is driven by purpose, innovation, and a shared passion for aviation safety.
  • Here's what makes our work environment thrive:
  • A collaborative, supportive team of skilled professionals and mentors
  • Groundbreaking projects that shape the future of avionics technology
  • A company culture that promotes innovation, career growth, and continuous learning
  • Meaningful work that impacts air travel safety around the world
  • A strong work-life balance, including a 9/80 schedule option

To learn more about Universal Avionics, visit: www.UniversalAvionics.com
Universal Avionics' products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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