2 of 2 Permanent Time Series Forecasting Jobs in the South East

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 ❯

solutions grounded in rigorous experimentation and practical impact. Key Responsibilities: ML & AI Development: Research, build, and deploy machine learning models (including generative AI) focused on structured data, NLP, and time series forecasting. Model Lifecycle Ownership: Own models from experimentation to deployment, including validation, monitoring, and iteration. Generative AI & LLMs: Design and evaluate retrieval-augmented generation (RAG) pipelines, embeddings … cloud environments (AWS/GCP/Azure). Analytical & Communication Skills: Ability to clearly explain complex ideas, trade-offs, and results to diverse audiences. Nice to Have: Experience with time series forecasting and modeling irregular structured data. Background in healthcare, insurance, or other regulated industries. Familiarity with vector databases, retrieval systems, or multimodal ML architectures. THIS POSITION More ❯