12 of 12 Time Series Forecasting Jobs in the UK

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. ...

SCADA systems). Key Responsibilities · End-to-End Predictive Modelling: Design and develop advanced predictive models to solve complex business problems, such as forecasting daily/hourly reactive workloads, predicting asset failures, and optimising resource allocation. · Databricks Ecosystem Mastery: Utilise Databricks (Unity Catalog, Delta Lake, MLflow) to ingest, process … large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3). · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific ...

engineering practices such as modular design, testing, and CI/CD. Deep expertise in a wide range of ML techniques (e.g., ensemble methods, NLP, time-series forecasting, deep learning); familiarity with model interpretability and fairness tools. Experience of creating chat bot Strong experience with Microsoft Azure architecture ...

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 ...

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 ...

engines that power decision-making for major UK and international brands. This is a hands-on role where you will move between building demand forecasting models, architecting data pipelines, and deploying solutions into a high-traffic production environment. You may begin in one area of the codebase, but over … time you’ll work across multiple parts of the stack—from backend services to data pipelines and API design. This is an opportunity for someone who delivers high-quality code quickly, values well-structured architecture and knows when to be pragmatic. You’ll help shape best practices, take ...

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 ...

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 ...

internal and external stakeholders using appropriate styles and behaviours to suit the audience Use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data Collate and interpret qualitative and quantitative data and convert ...

sixth year running the internship programme. You can hear from our past interns and learn about our Location: London office Duration: Full time, 6th July-28th August Pay: £28,000 (pro rata) Application deadline: April 27th, 2026 The Role As a Forecasting Data Scientist intern … forecast energy for over 12 million accounts across gas and electricity, serving 7 million households. The team is responsible for building and maintaining time-series forecast models, data pipelines and data insights within the forecasting function. Forecasts ultimately get used by the Trading & Risk teams. What ...