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Director Machine Learning Jobs in Utah (NOW HIRING)

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We need an Associate Director of Affiliate to lead our creator affiliate programs across health and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We need an Associate Director of Affiliate to lead our creator affiliate programs across health and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You will work with the other Associate Directors and Ad Strategists and be supervised by the ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You will work with the other Associate Directors and Ad Strategists and be supervised by the ...

Digital Advertising Strategist

Lehi, UT ยท Hybrid

$77K - $88.70K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You will work with the other Associate Directors and Ad Strategists and be supervised by the ...

Digital Advertising Strategist (Mandarin)

Lehi, UT ยท Hybrid

$77K - $88.70K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You will work with the other Associate Directors and Ad Strategists and be supervised by the ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... You will work with the other Associate Directors and Ad Strategists and be supervised by the ...

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Director Machine Learning information

See Utah salary details

$32.8K

$83.7K

$128.4K

How much do director machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for director machine learning in Utah is $83,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.
What are the most commonly searched types of Machine Learning jobs in Utah? The most popular types of Machine Learning jobs in Utah are:
What are popular job titles related to Director Machine Learning jobs in Utah? For Director Machine Learning jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Director Machine Learning jobs? Cities in Utah with the most Director Machine Learning job openings:

Senior Data Analyst - Fraud Strategy & Operations

Raisin

Lehi, UT โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.
Team
The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your ResponsibilitiesAs the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.
  • Advanced Fraud Strategy & Analytics- Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance- Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration- Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile
  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
As part of our team, you will benefit from:
  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.

Salary Range
$120,000-$140,000 USD
Raisin Applicant Privacy Policy
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.