About the job
At Zego, we're transforming the world of motor insurance by empowering good drivers with an affordable and straightforward insurance experience. Since our inception in 2016, our mission has been to redefine the insurance landscape, making it accessible and fair for everyone.
We cater to a diverse range of customers, including van drivers, gig workers, and everyday car drivers. Our commitment to our customers drives us to innovate and improve continuously.
Having sold millions of policies and raised over $200 million in funding, we're on an exciting journey and are just getting started.
Who We're Seeking
We are in search of a talented Lead Machine Learning Engineer to join our dynamic ML Platform team. You will take ownership of our platform, tooling, and infrastructure, facilitating the deployment and monitoring of machine learning models at scale. Your expertise will play a critical role in enhancing our pricing models and expanding into telematics and other business areas.
As part of a small team under the guidance of the Head of Machine Learning Engineering, you will have a significant opportunity to shape the future of machine learning at Zego.
Key Responsibilities
- Design and implement comprehensive ML systems, from feature engineering to model training, deployment, and monitoring.
- Maintain and enhance the ML platform and tools to ensure efficient and reliable model delivery.
- Develop and refine model lifecycle tools, including deployment, monitoring, alerting, and retraining mechanisms across various domains.
- Collaborate closely with Data Scientists and Product teams to convert business challenges into well-defined ML solutions.
- Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
