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Fraud Detection Machine Learning Jobs in Florida

Kforce Technology Staffing

Systems Analyst

Davie, FL

Exposure to data analysis or pattern recognition (e.g., fraud detection scenarios) * Awareness or interest in AI and machine learning concepts (not required) * Experience supporting POS, transaction ...

Tenex.AI Inc

Threat Detection Engineer

Sarasota, FL · On-site

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... Knowledge of data science and machine learning concepts as applied to security analytics. Why Join ...

Booz Allen Hamilton

Data Integration Specialist

Doral, FL · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

BOOZ, ALLEN & HAMILTON, INC.

ML Administrator

Doral, FL

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

BOOZ, ALLEN & HAMILTON, INC.

ML Administrator

Doral, FL

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

BOOZ, ALLEN & HAMILTON, INC.

ML Administrator

Miami, FL · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

Booz Allen Hamilton

Geospatial Solutions Architect

Doral, FL · On-site

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Booz Allen Hamilton

ML Administrator

Doral, FL · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

Booz Allen Hamilton

ML Administrator

Doral, FL

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

Booz Allen Hamilton, Inc.

ML Administrator

Doral, FL · On-site

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you ...

Core One

Data Scientist

Tampa, FL · On-site

They are seeking a Data Scientist to design and deploy machine learning models for UAS threat detection and support data science efforts across the ML lifecycle. Responsibilities : • Design ...

TENEX.AI

Senior Cybersecurity Analyst

Sarasota, FL · On-site

$97K - $125K/yr

The role involves leveraging AI and machine learning technologies to enhance threat detection and response, ensuring the security of digital infrastructure and continuous improvement of security ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Florida

Fraud Detection Machine Learning information

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How much do fraud detection machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for fraud detection machine learning in Florida is $13.49, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $14.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Florida? For Fraud Detection Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Florida look for? The top searched job categories for Fraud Detection Machine Learning jobs in Florida are:
What cities in Florida are hiring for Fraud Detection Machine Learning jobs? Cities in Florida with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you
Systems Analyst

Systems Analyst

Kforce Technology Staffing

Davie, FL

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Systems Analyst in Fort Lauderdale, FL to support a large-scale loyalty program operating across multiple venue types. This role supports hundreds of active installations, including new site openings, testing initiatives, and ongoing operational monitoring. This is a hands-on, analytical role focused on system health, data flow accuracy, testing support, and behavioral analysis of the loyalty platform.
Key Responsibilities:
* Support new system installs and ensure accurate data flow from point-of-sale (POS) systems
* Monitor system health and operational performance across multiple live environments
* Execute and support test plans for defect fixes and major releases
* Assist with system analysis to identify anomalies or suspicious activity patterns
* Partner with internal IT and business teams to troubleshoot and resolve issues
* Support ongoing program optimization as the loyalty platform continues to scale
REQUIREMENTS:
* 3-5 years of experience in a System Analyst, Application Support, or similar role
* Strong analytical and troubleshooting skills
* Experience executing test plans and supporting system releases
* Ability to analyze system behavior and identify trends or irregularities
* Comfortable working across multiple systems and data sources
* Strong communication skills and willingness to learn new business processes
Nice-to-Have Skills:
* Exposure to data analysis or pattern recognition (e.g., fraud detection scenarios)
* Awareness or interest in AI and machine learning concepts (not required)
* Experience supporting POS, transaction-based, or loyalty systems
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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