Machine Learning Engineer

<p style="min-height:1.5em"><strong>Who we are:</strong></p><p style="min-height:1.5em">Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Our culture:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere</p></li><li><p style="min-height:1.5em">We hire talented, self-motivated individuals with extreme ownership and high growth orientation. </p></li><li><p style="min-height:1.5em">We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Location:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania </p></li><li><p style="min-height:1.5em">From Home / Beach / Mountain / Cafe / Anywhere!</p></li><li><p style="min-height:1.5em">We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.</p></li></ul><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><p style="min-height:1.5em"><strong>About The Role</strong></p><p style="min-height:1.5em">As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale.</p><p style="min-height:1.5em">This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges.</p><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><p style="min-height:1.5em"><strong>What you’ll be doing:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and optimize data pipelines and backend services to process device and behavioral data in real time.</p></li><li><p style="min-height:1.5em">Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.</p></li><li><p style="min-height:1.5em">Turn raw data into production-ready features that feed our fraud detection systems.</p></li><li><p style="min-height:1.5em">Collaborate with platform and backend engineers to integrate models seamlessly.</p></li><li><p style="min-height:1.5em">Maintain high standards of security, privacy, and compliance.</p></li><li><p style="min-height:1.5em">Champion best practices in testing, documentation, and observability.</p></li></ul><p style="min-height:1.5em"><strong>What you’ll need:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.).</p></li><li><p style="min-height:1.5em">Strong SQL skills and familiarity with relational and non-relational databases.</p></li><li><p style="min-height:1.5em">Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration.</p></li><li><p style="min-height:1.5em">Excellent communication skills in English, both written and verbal.</p></li><li><p style="min-height:1.5em">Bachelor's or Master's in Computer Science, Engineering, or a related discipline.</p></li></ul><p style="min-height:1.5em"><strong>Bonus Points</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Domain knowledge in fraud, risk, or cybersecurity.</p></li><li><p style="min-height:1.5em">Background in Software Engineering </p></li><li><p style="min-height:1.5em">Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.</p></li><li><p style="min-height:1.5em">Understanding of modern browser APIs and high-entropy data collection techniques.</p></li><li><p style="min-height:1.5em">Familiarity with leveraging frontier LLMs for automation.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Benefits we offer:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Generous compensation in cash and equity</p></li><li><p style="min-height:1.5em">Early exercise for all options, including pre-vested</p></li><li><p style="min-height:1.5em">Work from anywhere: Remote-first Culture</p></li><li><p style="min-height:1.5em">Flexible paid time off and Year-end break</p></li><li><p style="min-height:1.5em">Health insurance, dental, and vision coverage for employees and dependents - <em>US and Canada specific</em></p></li><li><p style="min-height:1.5em">4% matching in 401k / RRSP - <em>US and Canada specific</em></p></li><li><p style="min-height:1.5em">MacBook Pro delivered to your door</p></li><li><p style="min-height:1.5em">One-time stipend to set up a home office — desk, chair, screen, etc.</p></li><li><p style="min-height:1.5em">Monthly meal stipend</p></li><li><p style="min-height:1.5em">Monthly social meet-up stipend</p></li><li><p style="min-height:1.5em">Annual health and wellness stipend</p></li><li><p style="min-height:1.5em">Annual Learning stipend</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em">Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><em>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 </em><a target="_blank" rel="noopener noreferrer nofollow" class="text-link-blue" href="https://www.sardine.ai/applicant-and-worker-privacy-notice"><em>Applicant and Worker Privacy Notice</em></a><em>.</em></p><hr><p>Compensation: £100K – £160K • Offers Equity • Multiple Ranges</p><ul><li>UK • £100K – £160K • Offers Equity</li><li>Europe • Germany, Ireland, Spain, Poland, Bulgaria and Lithuania €85K – €160K • Offers Equity</li></ul><p>Find more <a href="https://www.arbeitnow.co.uk/english-speaking-jobs">English Speaking Jobs in United Kingdom</a> on Arbeitnow</a>