3 of 3 Time Series Forecasting Jobs in Central London

developing ML services) Deep learning and N atural Language Processing (NLP): LLM (Large Language Model) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning ...

Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models, including building ...

fund - from foundational model research to production deployment. What You’ll Do Lead the development of advanced deep learning frameworks for financial time-series forecasting and market modeling. Research, prototype, and evaluate cutting-edge architectures (e.g., GNNs, RNNs, Transformers) for signal discovery. Collaborate closely with data engineering ...