1

Fraud Detection Machine Learning Jobs in Orlando, FL

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

BHT - NIGHT

Winter Springs, FL

$14 - $17/hr

Exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow ... Learning -Challenges old paradigms with critical thinking, curiosity and creativity

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

BHT - Weekends

Winter Springs, FL · On-site

$14 - $17/hr

Exercise due diligence to prevent, detect, and report unlawful and/or unethical conduct by fellow ... Learning -Challenges old paradigms with critical thinking, curiosity and creativity

Maintenance Manager

Apopka, FL · On-site

$32 - $34/hr

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Showing results 41-58

Fraud Detection Machine Learning information

See Orlando, FL salary details

$10

$16

$25

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

As of Sep 4, 2026, the average hourly pay for fraud detection machine learning in Orlando, FL is $16.85, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $17.93 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 Orlando, FL?

For Fraud Detection Machine Learning jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Fraud Detection Machine Learning jobs in Orlando, FL look for?

The top searched job categories for Fraud Detection Machine Learning jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Fraud Detection Machine Learning jobs?

Cities near Orlando, FL with the most Fraud Detection Machine Learning job openings:

Refrigeration Start-up Technician - Commercial & Industrial

CoolSys

Miami, FL

$35 - $50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


CoolSys rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

63rd of 283 rated repair and maintenance companies


Job description

Overview

At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. As a large company serving diverse customers, we invest in our team with:

  • Competitive Compensation: Competitive pay $35-$50/hour (DOE) and sign-on bonuses up to $3,000 (per location). 
  • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training.
  • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match.
  • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing.
  • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more.

Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry!


Responsibilities

Refrigeration Start-up Technicians are responsible for start-up of supermarket refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time as well as assist with Energy Optimization (EO) projects. The ideal candidate should know advanced solid-state controls; oil systems safety controls; mechanical sub-cooling; introduction to head pressure controls for energy reduction; introduction to energy management systems (EMS); refrigeration rack oil systems; advanced de-frost diagnosis; and single and parallel compressor system start-up in a supermarket environment.  Technicians must carry the skillset of a Journeyman level which includes construction experience in performing installation of refrigeration systems including electrical, plumbing, and fixtures.  The technician will function as the subject matter expert for processes, procedures, and projects.

  • Performs evacuations of parallel racks after verifying pressure tests.
  • Performs all EMS wiring and programming for all manufacturers of EMS systems.
  • Performs full start-up of new parallel refrigeration systems and individual systems.
  • Lead small projects such as single case and condenser changeouts.
  • Assists with EO projects which would include retro-commissioning of supermarkets for system performance or utility programs, EMS upgrades, leak detection upgrades, and gas conversion projects.
  • Works with local branch Service and Construction Managers between projects to assist in problematic stores, training for junior technicians and foremen, or other areas as needed.
  • Perform other duties as assigned.

Qualifications

  • High school diploma or GED.
  • Coursework at an accredited vocational-technical or trade school.
  • 3+ years of supermarket EMS systems.
  • EMS Certification preferred.
  • 5+ years of experience in commercial refrigeration; especially experience with parallel rack systems *CO2 a Plus*
  • Experience and proficient knowledge of supermarket refrigeration.
  • EPA I and II Certification required.
  • Valid Driver’s License is required at all times.
  • Good driving record.
  • Solid working knowledge of the use of the Microsoft suite of applications (Word, Excel, etc.)
  • Expert knowledge of refrigeration, ice machines, and electrical systems.
  • Expert knowledge of single systems, parallel racks systems, display cases, and walk-ins.
  • Ability to efficiently troubleshoot commercial and supermarket refrigeration equipment.
  • Expert knowledge of EMS systems in supermarket applications for wiring and programming (CPC, Novar, Danfoss)
  • Strong mechanical aptitude.
  • Good communication skills and the ability to build strong relationships with the customers, management, crew, and team.
  • Knowledge of and ability to read blueprints on refrigeration, electrical, and plumbing.
  • Ability to multi-task effectively.
  • Travel, overnight, and overtime work as needed.
  • Ability to organize and prioritize your work schedule and the work schedules of others on a short-term basis

What CoolSys employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom