Elemendar is the leader in developing AI to translate CTI into machine readable and instantly actionable data.
Please no recruiters.
Elemendar is a fast-growing AI startup in the cyber security space, founded in 2017 at the UK's NCSC Cyber Accelerator. Cybersecurity is fast-becoming one of the most important areas of technology (see the recent SolarWinds attack). Our current product turns cyber threat reports into machine-readable intelligence, making it faster, cheaper and easier for companies and governments to protect themselves from attacks. We want to build on this and become a leader in the Cyber Threat Intelligence (CTI) market.
We've recently closed our latest funding round and are looking for motivated and adaptable people to help grow and shape the company. Our small team makes for an inclusive, interdisciplinary, and intellectually stimulating environment. The team has more than doubled this year and we plan to double again next year. We have a mixture of full- and part-time team members, including UK employees as well as contractors (UK & international). We value diversity and welcome candidates from non-traditional backgrounds and under-represented groups in tech.
We’re looking for a permanent senior Machine Learning Engineer with experience working with graph neural networks (GNNs) to join our growing team and work closely with the CTO to develop and apply techniques to the structured graph of Cyber Threat Intelligence (CTI) produced by our existing products.
Our existing products turn reports into self-contained directed graphs of structured CTI. Your role will be leading the next stage of our technical evolution to apply graph-based techniques to the wider connected graph of these reports - helping our customers’ analysts better respond to threats.
We value diversity in our small team and welcome candidates from non-traditional backgrounds and under-represented groups in tech. Our CTO is a woman and dedicated to supporting the engineering team with mentorship opportunities.
Do you want to join our team as our new Senior Graph Machine Learning Engineer? Then we'd love to hear about you!