Remote Knowledge Engineering Jobs in the UK

1 to 2 of 2 Knowledge Engineering Jobs in the UK with Remote Work Options

Engineering Manager - Knowledge Engineering

London, England, United Kingdom
Hybrid / WFH Options
BenchSci
We are looking for an experienced Knowledge Engineering Manager to join our Knowledge Representation team. You will be reporting to the Director of Engineering, Data & ML. Using your specialism in knowledge engineering you will spearhead our team towards groundbreaking advancements in knowledge engineering, representation and management. The ideal candidate will be deeply versed in the intricacies of knowledge graphs, graph databases, Knowledge representation techniques, and ideally experienced in the application of graph data science for insightful knowledge extraction and enrichment. The most successful candidates for this role will be … experienced knowledge engineers who have remained hands-on, are most comfortable providing technical leadership and delivering complex knowledge engineering solutions such as knowledge graphs. This role is perfect for a leader who is technically adept and passionate about guiding a team toward innovative solutions in how more »
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Senior Machine Learning Engineer (Remote)

London, England, United Kingdom
Hybrid / WFH Options
BenchSci
We are looking for a Senior Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary … internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci’s knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art … the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify enrichment opportunities and strategies. Work with data and knowledge engineering more »
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