Machine Learning Engineer
Cambridge, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Neutreeno
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 (Docker, cloud platforms, AWS, CI/CD) Familiarity with sustainability or environmental data standards and frameworks What More ❯
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