5 of 5 Remote/Hybrid Time Series Forecasting Jobs in England

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. ...

modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant Implement model evaluation frameworks using offline metrics, cross validation, online ...

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 ...

performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data and owning frameworks that track performance over time Collaborating with testing engineers to design robust experiments and ensure high-quality training data Working with software engineers to embed modelling outputs into internal … confidence working in cross-functional teams Desirable experience includes: Industry or postgraduate experience in machine learning and/or statistical modelling Probabilistic programming and time-series forecasting Experience within additive manufacturing, particularly Laser Powder Bed Fusion Investigating and reducing variation in production or manufacturing environments Interest ...