6 of 6 Statistical Computing Jobs in the UK

methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged A track record of scoping and delivering projects in a customer facing … and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving skills and the ability to analyse issues More ❯

to 5 years’ experience in software development ideally using C++ but will consider other languages (C#, Python, Embedded C etc) Image Processing/Analysis Computer vision Data analytics and computational statistics Knowledge of similar data analysis/visualisation tools will be considered Machine Learning Artificial Intelligence Signal processing/analysis Good methodical problem-solving skills Strong communication skills both written More ❯

degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas. Research publications reflecting experience in theoretical or empirical research. Experience in developing and debugging in Python or similar programming languages. Experience in analyzing and More ❯

BI and visualization tools at least one of but not limited to: QlikView, DOMO, Tableau, Power-Bi. Advanced Microsoft Office skills required, especially Excel and PowerPoint Data Modelling other Statistical computing techniques are a plus. Agility - must thrive in a fluid and changing environment Ability to handle multiple projects in a fast-paced work environment Effective communication and More ❯

These are both open-ended positions. Applicants are invited from any area of applied statistics, including statistical or actuarial data science. Those working in actuarial science, Bayesian statistics, statistical learning and/or actuarial statistics are particularly welcome to apply. Candidates who would like to work with the University's multi-disciplinary Global Research Institutes in the areas … will have a strong track record of research in applied statistics, actuarial or statistical data science which includes fields such as Bayesian statistics, statistical learning, actuarial statistics, computational statistics and statistical methodology. You will either be established or have the potential to establish yourself as an international research leader, with strong postdoctoral research experience and the ambition … to build a world-class academic group. You will have the relevant experience to engage and innovate in our specialised actuarial, statistical, data science and financial teaching programmes. The School strongly encourages and supports the generation of industry impact from research, and we welcome candidates with experience of statistical work with industrial partners or working with the actuarial More ❯

on machine learning applications for public policy and global health. This position is funded by EPSRC. For more details, see this link . The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include: List of publications or More ❯