ZipRecruiter

Log In

1

Fraud Detection Machine Learning Jobs in Colorado

Apple

Data Scientist - Hardware Acoustics

Boulder, CO

$127.70K - $232.90K/yr

... for machine learning models. Implement rigorous data quality checks, monitoring, and anomaly detection to ensure the integrity, reliability, and privacy of data used for ML. Develop tools and ...

next page

Showing results 1-20

People also search for

All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Colorado

Fraud Detection Machine Learning information

See Colorado salary details

$11

$18

$28

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

As of May 30, 2026, the average hourly pay for fraud detection machine learning in Colorado is $18.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.24 per hour, depending on experience, location, and employer.

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 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 popular job titles related to Fraud Detection Machine Learning jobs in Colorado? For Fraud Detection Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Colorado look for? The top searched job categories for Fraud Detection Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Fraud Detection Machine Learning jobs? Cities in Colorado with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you

AI/ML Engineer (TS/SCI with CI Poly) {S} with Security Clearance

ARKA Group LP

Aurora, CO • On-site

$86K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today. Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now! This is an on-site position that can be located at either our Aurora, CO or King of Prussia, PA location. In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you. We also offer generous relocation benefits for eligible candidates as well as consideration for sign on bonuses consistent with skills and experience levels. Position Overview: This position is for an AI/ML Engineer looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels! Responsibilities: Our ideal candidate is an AI/ML engineer with experience working in research teams prototyping and developing AI/ML algorithms. This candidate will be joining our team of AI/ML engineers and researchers to apply cutting-edge AI/ML algorithms in a variety of domains to the mission needs of our customers. As an AI/ML Engineer, your responsibilities include: * Working as part of a small team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
* Analyzing large multi-domain datasets such as images, text, and/or graph data to identify statistically relevant features to build models that provide analysts with actionable data
* Using cloud services to train and deploy ML models
* Reviewing relevant publications to understand and apply cutting edge concepts to defense and commercial applications
* Writing technical documentation supporting code, program capabilities, and user-guides
Required Qualifications: * Effective communicator with the ability to write and present technical reports
* Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
* Experience with one or more of the following:
* Applying unsupervised and/or supervised machine learning techniques
* Applying and/or developing algorithms based in statistical analysis
* Analyzing large datasets and building models to perform inference
* BS in machine learning, computer science, mathematics, or relevant fields
* 2+ years of experience developing AI/ML applications, data science, and/or algorithm development
* Active TS/SCI with CI Poly U.S. Government Security Clearance
Preferred Qualifications: * MS or PhD in machine learning, computer science, mathematics, or relevant fields
* Experience leading an interdisciplinary team of researchers and software developers
* Experience with any of the following AI/ML domains:
* Large Language Models and experience identifying ways to incorporate them into new areas and applications
* Object detection algorithms such as YOLO and Faster-RCNN
* Natural Language Processing algorithms such as Transformers and RNNs
* Applying Transformer-based architectures to domains in other areas outside of NLP such as computer vision
* Generative Adversarial Networks and Variational Autoencoders
* Reinforcement learning and familiarity with OpenAI Gym, RLlib, and Stable Baselines
* Applying clustering algorithms and/or deep neural networks to real life problems
* Implementing tracking & fusion and pattern-of-life algorithms
* Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain
* Experience with Linux
* Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
* Experience with any of the following additional languages: C++, Java, and/or C#
* Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
* Experience with implementing tracking and fusion, and pattern-of-life algorithms
* Experience in application deployment, virtualization, and containerization
* Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
* Experience shaping and writing proposals
Pay Range: $86,000 - $200,000 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The application window will close in 270 days for this position. Location: This position is based out of ARKA's nature abundant Aurora, CO campus. Being situated at the foot of the Rocky Mountains, Aurora provides opportunities to enjoy all the beautiful nature that Colorado has to offer, while also being a 20-minute drive from downtown Denver and 15-minutes to the Denver International Airport. What We Offer: * Comprehensive medical/vision/dental insurance packages
* Company contributions to qualified HSA accounts
* 401k retirement plan with industry leading company contributions
* 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
* 13 paid holidays
* Upfront tuition assistance for approved degree programs
* Annual bonus program based on company and employee performance
* Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
* 4 weeks paid Parental Leave
* Employee assistance program (EAP)
EHS/Environmental Requirements: This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 40 lbs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to or contact 203-797-5000 and press 2 for Human Resources. ITC & Security Clearance Requirements: This position requires an active TS/SCI with CI Poly U.S. Government Security Clearance. Visa Restrictions: No visa sponsorship is available for this position. Pre-employment Screenings: Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.

Apply