5 of 5 Permanent Time Series Forecasting Jobs in London

financial services or asset management. Deep expertise in machine learning and statistical modeling, hands‐on experience developing and deploying models (e.g., predictive models, NLP, time‐series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance … guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time‐series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. ...

across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering … Insurance* Maternity, paternity and shared parental leave* Employee Assistance Programme* Access to emergency care for both the elderly and children* RECARES days, giving you time to support the charities and causes that matter to you* Access to employee resource groups with dedicated time to volunteer* Access to extensive ...

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 ...