DataOps Python Engineer AI & Ontology Pipelines
Listed on 2026-10-16
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IT/Tech
Data Engineering, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Elsevier is seeking a Data Ops Engineer to maintain and evolve data and ontology pipelines that power our AI and NLP technology stack. You will collaborate with Ontology and Data Science teams to build high-quality vocabularies and data products, while crafting automation and software solutions to boost efficiency and customer outcomes.
You will contribute to production-grade pipelines, work with AWS Batch, Step Functions and Lambda, and support ongoing data operations across multiple cloud
Our team is growing, and we are hiring a Data Ops Python Engineer for AI & Ontology Pipelines in Cambridge, England, United Kingdom.
We are currently recruiting a Data Ops Python Engineer for AI & Ontology Pipelines for our team in Cambridge, England, United Kingdom.
This is an excellent role to take on the Data Ops Python Engineer for AI & Ontology Pipelines role at Elsevier.
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