Machine Learning Engineer
Cambridge, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Neutreeno
across engineering, product, and commercial functions to translate requirements into integrated technical solutions Preferred Qualifications Experience working on large codebase with multiple collaborators via version control tools (i.e. git, GitHub etc.) Experience with data scrapping (e.g. Beautiful Soup), extraction (e.g. LLMs) and cleaning. Knowledge with uncertainty quantification and probabilistic modelling approaches such as Bayesian optimisation Experience with cloud deployment pipelines More ❯
Posted: