London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
ML services). 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). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we More ❯
services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI More ❯
key machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and services including Sagemaker. Deep knowledge of Microsoft Excel in a commercial setting. You enjoy being Agile - you should be happy working More ❯
Data Scientist - Python £700-£750 pd via Umbrella Initially for 6 months with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting More ❯
including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master More ❯
including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: Key Responsibilities Develop ML/DL models (XGBoost/LSTM/GNN) for fraud detection & risk prediction Optimize models through feature engineering and A/B testing Deploy real-time decision algorithms supporting global business Minimum Qualifications Master More ❯
