5 of 5 Dimensionality Reduction Jobs in the UK

of advanced analytics including, but not limited to: Supervised and unsupervised learning Variations in machine learning algorithm development such as regression, classification, clustering, and dimensionality reduction Variations of ensemble methods such as boosting, bagging, and stacking to improve model performance Deep learning Super learners Targeted learning Target maximum More ❯

and analysis tools such as Pandas, NumPy, Scikit-learn, etc. Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc. Experience with applying machine learning to real-world problems, such as aerospace engineering or another discipline in the sciences. Strong problem More ❯

Hands-on experience with classical ML and modern techniques, including deep learning , transformers , diffusion models , and ensemble methods . Solid understanding of feature engineering, dimensionality reduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with More ❯

Docker, and workflow managers such as Nextflow or Snakemake. Strong grounding in statistics and/or machine learning, including common approaches like clustering, classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics More ❯

Docker, and workflow managers such as Nextflow or Snakemake. Strong grounding in statistics and/or machine learning, including common approaches like clustering, classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics More ❯