Machine Learning Engineering Manager

Job description

**Who are we?** Hi! 👋 We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers. And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. Join us and you’ll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - [check out our Glassdoor reviews.](https://www.glassdoor.co.uk/Overview/Working-at-Ravelin-Technology-EI_IE1590629.11,29.htm) If this sounds like your cup of tea, we would love to hear from you! For more information check out our [blog](https://www.ravelin.com/blog) to see if you would like to help us prevent crime and protect the world's biggest online businesses. **The Team** You will be joining the Detection team, a team of machine learning engineers and data scientists. The Detection team is responsible for keeping fraud rates low by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google’s [Best Practices for ML Engineering](https://developers.google.com/machine-learning/guides/rules-of-ml/#ml_phase_ii_feature_engineering) is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it’s down to the Detection team to investigate why. The Detection team is core to Ravelin’s success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. **The Role** We are currently looking for an Engineering Manager to line manage ML engineers and drive innovation across our suite of fraud detection products. You’ll work closely with data scientists, product, engineering and our operations teams to develop ML models and ML products. Our ideal candidate is pragmatic, approachable and filled with knowledge tempered by past failures. You will hire, coach and develop a talented machine learning team to deliver on the ML product and platform roadmap. You are in your element working with people. You’ll partner closely with senior members of Detection to discover new avenues for ML product innovation. From time to time, you’re excited to even do some software or model development yourself. The work is not all green field research. The everyday work is about making safe incremental progress towards better models for our clients. The ideal candidate is willing to get involved in both aspects of the job – and understand why both are important.