Job Overview
Location
United Kingdom
Job Type
Full-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Build and optimize real-time data pipelines to process device and behavioral data at scale for fraud detection systems.
- • Develop, deploy, and maintain machine learning models that identify fraudulent activity using large-scale datasets and production-grade infrastructure.
- • Transform raw data into production-ready features that power Sardine’s fraud and AML detection platforms.
- • Collaborate with platform and backend engineering teams to integrate ML models into existing systems, ensuring seamless and reliable operation.
- • Ensure all ML systems adhere to strict standards of security, privacy, and regulatory compliance.
- • Champion best practices in model testing, documentation, observability, and continuous improvement of ML workflows.
- • Work end-to-end on ML systems including feature engineering, model training, deployment, monitoring, and iterative refinement.
- • Utilize Go for backend services and systems that support real-time fraud detection and data processing.
- • Operate within a remote-first environment with a globally distributed team, contributing to a culture that values performance over hours worked.
- • Work with one of the largest fraud consortiums in the market, leveraging data from over 6 billion profiled devices, 800 million consumers, and 3 million businesses.
- • Partner with teams at leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com to secure their digital ecosystems.
- • Maintain high standards of engineering excellence while adapting to evolving fraud patterns and AI-driven attack vectors.
- • Contribute to a culture that prioritizes flexibility, allowing work from home, beach, mountain, café, or anywhere that maximizes productivity.
🎯 Requirements
- • Hands-on experience with applied machine learning using large datasets (e.g., PyTorch, Scikit-learn)
- • Strong SQL skills and familiarity with relational and non-relational databases
- • Experience with end-to-end ML systems including feature pipelines, model deployment, monitoring, and iteration
- • Bachelor's or Master's in Computer Science, Engineering, or a related discipline
- • Excellent written and verbal communication skills in English
🏖️ Benefits
- • Generous compensation in cash and equity
- • Early exercise for all options, including pre-vested
- • Remote-first culture with the ability to work from anywhere
- • Health insurance, dental, and vision coverage for employees and dependents
- • MacBook Pro delivered to your door
- • One-time stipend to set up a home office — desk, chair, screen, etc.
- • Monthly meal stipend
- • Monthly social meet-up stipend
- • Annual health and wellness stipend
- • Annual Learning stipend
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Sardine Inc.
Sardine Inc. provides real-time fraud prevention and compliance infrastructure for fintechs, crypto platforms, and digital banks. Its API-based platform combines device fingerprinting, behavioral biometrics, transaction monitoring, and sanctions screening to detect and block fraud before funds move. The company serves payment processors, neobanks, and crypto exchanges, helping them reduce chargebacks, meet regulatory requirements, and onboard users faster while minimizing risk.
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