At a Glance
- Tasks: Design and develop scalable systems for real-time fraud detection using machine learning.
- Company: Sardine, a leading platform in agentic risk and fraud protection.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with a focus on innovation and collaboration.
- Why this job: Join a cutting-edge team and make a real impact in fraud prevention.
- Qualifications: Experience in machine learning, data pipelines, and backend development.
The predicted salary is between 60000 - 72000 £ per year.
Sardine is a leading agentic risk platform focused on real-time fraud detection.
We are seeking a Machine Learning Engineer to design the systems that enable scalable fraud protection.
You’ll work across modeling, data pipelines, and backend Go services to ensure ML models run reliably and at scale.
You’ll build data pipelines, develop and deploy ML models for fraud detection, and turn raw data into production-ready features that feed our detection systems. #J-18808-Ljbffr
Fraud ML Engineer — Real-Time Systems (Remote) employer: Sardine
Sardine is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the fight against fraud. As a Remote Integration Engineer, you'll benefit from flexible working arrangements, continuous professional development opportunities, and the chance to make a meaningful impact in a rapidly evolving industry. Join us in our mission to protect businesses and consumers alike, while enjoying the unique advantages of working with a global leader in fraud prevention.
