We're looking for a keen AI engineer who has a passion for building world class predictive models in order to transform the world of marine insurance. What we're doing We're reshaping maritime. It's an industry that's incredibly important and serves as the backbone of global trade, moving $14 trillion of cargo each year. Despite its significance, the industry remains one of the final frontiers of digitalisation. Ceto is capturing and analysing high frequency data from commercial ships to enrich insurance risk selection, reduce machinery breakdowns and improve fuel efficiency. The insights that we derive are served to our customers in a beautiful dashboard, saving thousands of tonnes of CO2 emissions, preventing costly breakdowns and reducing operational risks. We use these insights to provide a world first, market-beating connected insurance product which is supported by a panel of seven A-rated insurance carriers and some incredible investors. We're looking for someone to strengthen our AI capabilities and help develop our next generation of predictive models. The role • Develop and implement machine learning solutions for maritime analytics • Collaborate with engineering teams to deploy models and maintain performance • Build and optimise predictive models for vessel performance and condition monitoring • Participate in data analysis and feature engineering to improve model accuracy • Follow and implement best practices in ML ops and model deployment • Work with the data science team to identify and leverage patterns in maritime datasets You should… • Write great, clean code • Have good experience in machine learning and statistical modelling • Have experience deploying ML models in production environments • Be proficient in Python and common data science libraries (pandas, scikit-learn, TensorFlow/PyTorch) • Have knowledge of time series analysis and anomaly detection • Have good communication skills to explain technical concepts to team members • Be excited about solving complex problems with messy, real-world data Ideally, you… • Have worked with large-scale sensor data and real-time analytics • Have a solid understanding of physics and mechanical principles • Are hooked in to the rapidly-evolving AI ecosystem • Have experience with NoSQL databases (MongoDB) • Have experience with Azure ML • Have expertise in signal processing and condition monitoring • Have startup experience or worked in fast-paced, startup-like environments What's on offer • Competitive salary based on experience • Equity options • 25 days holiday public holidays • Flexible working hours • Hybrid working from either our London or Newcastle office • All the kit you need to be your most productive • Work from anywhere flight allowance • Opportunity to shape the future of maritime and insurance technology • Budget and time allocation for conferences and professional development About us We're a rapidly growing maritime-focussed Insurtech startup. We’re based in Newcastle with office space in London. We believe technology can and does make the world a better place, and we believe we can make that happen. We value challenging each other, truth seeking and creative problem solving. We celebrate the wins and always have fun Expect: late night hacking with pizza, firefighting problems in production, scrappy whiteboard sessions, concise PRs and beers on a Friday. Apply now To apply, send your CV, a link to your relevant projects and a cover letter describing your vision for data science in maritime to careersceto.ai Join us if you want to be part of team that's making a dent in two huge industries