2 of 2 Time Series Forecasting Jobs in Central London

Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI More ❯

understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing team … AI tools for geospatial risk assessment Building models to project the impact of floods, cyclones, heat stress etc Leveraging satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong … hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI, geospatial ML, computer vision, or forecasting Experience working with climate data (or similar) Excellent communication skills and cross-functional collaboration ability Experiene working in start ups/scale ups. Bonus Points Experience with satellite imagery or other Earth-observation More ❯