ML Engineer (Python, TensorFlow/PyTorch) Salary up to £100k Equity London or Newcastle 1 day a week or fortnightly Looking for an experienced machine learning engineer who has a passion for building world-class predictive models to lead a team of data scientists. The company's capturing and analysing high frequency data from commercial ships to enrich insurance risk selection, reduce machinery breakdowns and improve fuel efficiency. The insights that they derive are served to our customers in a Realtime dashboard, saving thousands of tonnes of CO2 emissions. 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 Requirements • 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 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 ADZN1_UKTJ