are must. Responsibilities Design, develop, and implement advanced machine learning models and AI capabilities Build and maintain knowledge graphs and causal inference systems Create probabilistic models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilisticmodelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines More ❯
Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field. Strong experience in developing and applying machine learning models, particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit More ❯
span all four years of the undergraduate MEng program, with a focus on 3rd and 4th-year modules in machine learning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching … such as the 3rd year module in Inference (3F8), and 4th year modules in Deep Learning and Structured Data (4F10), Computer Vision (4F12), and Probabilistic Machine Learning (4F13). There will also be opportunities to teach courses and supervise students on the graduate level MPhil in Machine Learning and More ❯
Sports betting Hedge fund Company based in London. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company around creating the best possible technical and cultural environment to enable you to … test alternative models. You will join a highly skilled and experienced team answering a variety of complex sporting questions. You will work on building probabilistic models, the quality and evolution of which are central to the company’s success. You will find innovative ways of extracting information from various … sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve difficult problems. As Quantitative Researcher you will need: · 3+ years expereince within sports betting industry. · Statistics graduate/ More ❯
