or similar probabilistic programming tools. Hands-on experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionalityreduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools More ❯
the Business) Extensive experience (5+ years) with Python and/or SQL Proven expertise and experience of Shallow ML frameworks - regression, classification, clustering; time series forecasting (prophet, ARIMA, SARIMA); dimensionalityreduction approaches Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies. Knowledge of wider data More ❯
Cambridge University Hospital NHS Foundation Trust
attention to detail Proactive and delivers to timescales Desirable Attention to detail in creating documentation The ability to conduct descriptive statistics, Bayesian statistics, Inferential statistics, Probability distributions and theory, dimensionalityreduction and sampling etc Strong numerical and statistical skills Additional Requirements Essential Willing to be flexible in working practices Improvement mindset - able to identify flaws in our internal More ❯
for this role - visa sponsorship is not available. Key Responsibilities: Develop alternative navigation systems to GNSS for pedestrians and vehicles Analyze geospatial data using feature recognition, clustering, classification, and dimensionalityreduction Contribute to core components of next-generation localization and positioning systems Advance cooperative SLAM and AI-driven solutions for handheld devices Maximize indoor geospatial data modeling potential More ❯