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Fraud Detection Machine Learning Jobs in Florida

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Sarasota, FL

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Tallahassee, FL

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Miami, FL

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Tampa, FL

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$105K - $127K/yr

Strong working knowledge of machine learning methodologies, including supervised learning (e.g ... detection) * Strong SQL skills with experience designing and querying relational databases and ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

... fraud detection to cancer research to national intelligence. As a senior engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Booz Allen Hamilton

Data Engineer, Senior

Tampa, FL · On-site

$99K - $225K/yr

... fraud detection to cancer research to national intelligence. As a senior engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Booz Allen Hamilton

Senior Data Engineer

Tampa, FL · On-site

$99K - $225K/yr

... fraud detection to cancer research to national intelligence. As a senior engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

... fraud detection to cancer research to national intelligence. As a senior engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct ...

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Fraud Detection Machine Learning information

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

As of Sep 3, 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 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 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 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 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 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

Sr. Java Developer with strong AI/ML exp

Saransh Inc

Lake Mary, FL • On-site

$50 - $63.75/hr

Contractor

Re-posted 13 days ago

Job description

Role: Sr. Java Developer with strong AI/ML exp
Location: Lake Mary, FL (Onsite from Day 1)
Job Type: Long Term Contract
 
Job Description:
 
Relevant Experience: 10+ Years

Technologies:

  • Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.
  • Python NumPy, Pandas, TensorFlow/PyTorch.
  • Java Spring Boot, multithreading, JVM optimization.

Required Skills:

  • 10 or more years of experience in data science.
  • Ability to work effectively in a dynamic group that has several concurrent projects.
  • Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
  • Machine learning Artificial Intelligence Implement algorithms and statistical models to automate data analysis, data profiling and data validation.
  • Develop programs and analyze large datasets to uncover answers to complex problems. Should be comfortable writing code and working in a variety of programming languages, such as Java, Python, and SQL
  • Hands on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine tuning, or agent-based architectures.
  • Experience with AI frameworks like Langchain, Llama Index, OpenAI, or similar tools.
  • Proficient with Java, Python, SQL.
  • Build APIs and microservices to support AI functionalities.
  • Optimize code for performance, scalability, and reliability.
  • Participate in code reviews, testing, and debugging.
  • Exposure to MLOps practices and tools.
  • Proficiency in Python NumPy, Pandas, TensorFlow/PyTorch, etc.
  • Strong knowledge of Java Spring Boot, multithreading, JVM optimization
  • Experience with RESTful APIs, cloud platforms (either AWS, GCP, or Azure), and containerization Docker, Kubernetes
  • Familiarity with version control systems Git and CI CD pipelines.
  • Experience with AI/ML frameworks and libraries.
  • Knowledge of data engineering tools e.g., Apache Kafka, Spark
  • NumPy, Pandas, TensorFlow/PyTorch, etc
  • Spring Boot, multithreading, JVM optimization.
  • Experience with AI ML frameworks and libraries.
  • Data engineering tools (e.g., Apache Kafka, Spark).
  • Experience preferably in one or many of these Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.