We're looking for an experienced machine learning engineer who has a passion for building world-class predictive models to lead a team of data scientists transforming 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 lead our AI initiatives and take our predictive capabilities to the next level. The role • Own, design, build and implement sophisticated AI solutions • Work closely with engineering teams to productionise models and optimise performance • Lead and mentor our data science team in developing cutting-edge predictive models • Work with our CTO to help drive the data science strategy and roadmap, identifying under-exploited areas in our datasets and that of the global fleet • Champion best practices in data science methodology and ML ops, and uphold standards across the team You should… • Write great, clean code • Have extensive experience in machine learning and statistical modelling • Have extensive experience building and deploying ML models into production environments, including strong CI/CD proficiency • Be proficient in Python and its data science ecosystem (pandas, scikit-learn, TensorFlow/PyTorch) • Have good knowledge of time series analysis and anomaly detection • Have excellent communication skills to translate complex concepts to various stakeholders • Have proven experience owning data science initiatives • 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) and Azure ML and Databricks • 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 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 prod, scrappy whiteboard sessions, concise PRs and beers on a Friday. Apply now To apply, send your CV and any supporting material careersceto.ai Join us if you want to be part of team that's making a dent in two huge industries