sardine - Machine Learning Engineer

Remote - UK+ Equity1w ago

Remote EMEA Cybersecurity Artificial Intelligence Machine Learning Engineer scikit-learn SQL Docker Kubernetes Documentation

Requirements

• Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). • Strong SQL skills and familiarity with relational and non-relational databases. • Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. • Excellent communication skills in English, both written and verbal. • Bachelor's or Master's in Computer Science, Engineering, or a related discipline. • Domain knowledge in fraud, risk, or cybersecurity. • Background in Software Engineering • Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. • Understanding of modern browser APIs and high-entropy data collection techniques. • Familiarity with leveraging frontier LLMs for automation.

Responsibilities

• Build and optimize data pipelines and backend services to process device and behavioral data in real time. • Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. • Turn raw data into production-ready features that feed our fraud detection systems. • Collaborate with platform and backend engineers to integrate models seamlessly. • Maintain high standards of security, privacy, and compliance. • Champion best practices in testing, documentation, and observability.

Benefits

• Generous compensation in cash and equity • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off and Year-end break • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific • 4% matching in 401k / RRSP - US and Canada specific • 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 • To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice https://www.sardine.ai/applicant-and-worker-privacy-notice.