8 of 8 Statistical Learning Jobs in the UK

right pay and keep your profile in our database for future opportunities as well. This role is an excellent opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment we encourage you to apply. Remote machine learning roles … typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business … Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others More ❯

masters and experienced software engineers transition into a career in data science through our fellowship programme. The Faculty Fellowship programme helps academics become highly-skilled data scientists and machine learning engineers, transitioning successfully into careers and industries that are ready to benefit from artificial intelligence. After two weeks of intensive lectures and workshops at Faculty, wherein fellows will learn … your situation in your application. In general, successful candidates meet the following criteria: A finished PhD or Master's in a STEM subject with some data science/machine learning experience. A high level of mathematical competence. The ability to code or have programming experience, especially in Python. Some experience with theoretical concepts of statistical learning (e.g. More ❯

running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a … culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience. Responsibilities Developing alpha strategies from global cash equities. Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets. Collaborating with the PM, supporting with idea generation, data analysis, and backtesting. Contributing to the research and trading … pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a More ❯

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound framework to … formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep neural networks … time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the interaction between these two learning paradigms is relatively under-explored, there is a great potential of cross-fertilisation between the two. Objectives The goal of this project is to contribute new theory and practical More ❯

year Your key responsibilities Collaboration with Sales and trading to understand the needs of our client franchise and trading business, Work with a focus on research tasks using modern statistical techniques and ability to present results in a rigorous manner to justify the merits of research Estimate the impact new techniques would have on trading performance Work collaboratively with … and risk models for Macro products Experience with a scripting language for example Python or R for research purposes Experience of handling large amounts of data and application of statistical learning techniques Experience with object-orientated programming tools for example C++ or Java advantageous, preference for experience with KDB/Q. How we’ll support you Flexible working … to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named in More ❯

year Your key responsibilities Collaboration with Sales and trading to understand the needs of our client franchise and trading business, Work with a focus on research tasks using modern statistical techniques and ability to present results in a rigorous manner to justify the merits of research Estimate the impact new techniques would have on trading performance Work collaboratively with … and risk models for Macro products Experience with a scripting language for example Python or R for research purposes Experience of handling large amounts of data and application of statistical learning techniques Experience with object-orientated programming tools for example C++ or Java advantageous, preference for experience with KDB/Q. How we’ll support you Flexible working … to assist you balance your personal priorities Coaching and support from experts in your team A culture of continuous learning to aid progression About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named in More ❯

research agenda, with a primary focus on idea generation, data gathering, research/analysis, model implementation, and backtesting of systematic equity strategies. Model Development: Combining financial insights with advanced statistical learning techniques to analyze diverse datasets, build predictive models, and apply them to the investment process. Collaboration: Working alongside the SPM and investment team in a highly transparent … this information into actionable insights for strategy development. Highly Valued Skills & Experience: Strong economic intuition and the ability to apply critical thinking to complex financial problems. Previous involvement in statistical arbitrage strategies will be considered highly advantageous. Why Join This Team? This role provides a unique opportunity to work in a fast-paced, intellectually stimulating environment with access to More ❯

Additionally, the BAC Sr Consultant will be exposed to the ins and outs of developing data strategies for predictive analytic applications, fundamental skills of big data, data science and statistical learning methods and agile delivery methodologies. Key Responsibilities Drives clear product communications throughout the project/product process to all stakeholders involved regarding scope, timeline issues and any … approach that accelerates speed, agility, and value. We offer: • A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts • Access to world-class learning platforms and award-winning L&D • Clear career paths, internal mobility, and a strong focus on growth • A people-first culture with flexible working options Be part of a More ❯