Machine Learning Engineer

Job description

Arachnys accelerates onboarding and monitoring by providing the best global KYC and AML data. Enriched, intelligent data on customers enables straight-through processing and means fewer customer touchpoints, less risk and quicker revenue. Founded in 2010, we’ve helped some of the world’s biggest banks avoid regulatory fines, remediation costs and improved efficiency. Why work for us? In short, you get all the advantages of a startup (super fun teams, immediate impact, collaborative learning environment, greenfield projects, and contribution to company strategy)…but with stability, predictability, and work-life balance that comes from steady growth. Remote-First Arachnys is a remote-first organisation, meaning that we work remotely but come together for collaborative on-sites and socials a handful of times a year (once it’s safe to do so). We have found that candidates within 1-2 time zones of the UK work best with our current working practices. We provide all the technology and equipment our team needs to work productively remotely as well as all travel costs if we do ask them to come to a London onsite. How to apply If the role you are interested in is listed on our job board (above), click on the link and submit your application.

We aim to respond to all applications; please check your spam folder if you do not receive a response from an application.

We do not currently work with recruiters or consultants, but we will answer all legitimate enquiries from individual candidates. Speculative applications If you’re excited by what we’re doing and think you could be a good fit for the team, don’t worry if you don’t see a job spec which perfectly matches your skills. Feel free to send your CV and covering email to . In particular, we’re always on the lookout for exceptional technical candidates. We read and respond to every bona-fide application.

All roles are advertised with the potential to start immediately unless stated otherwise. If the role is still advertised, it’s worth applying. Visas and sponsorship We are able to offer to sponsor visas and pay relocation expenses only for exceptional candidates. Please contact us if you have any questions. Our Stack On the tech side, we work on hard but rewarding problems with advanced, performant technologies. We run our own distributed infrastructure with physical and virtualised servers located all over the globe, including a 100TB+ Hadoop cluster and a 10TB+ ElasticSearch cluster. Our services are deployed to AWS with Terraform and we make use of Docker and Kubernetes in production. We are contributors to open source, with our Cabot server monitoring tool starred over 4,500 times on GitHub and AthenaPDF, a PDF generation project in Go, over 1,000 times. We are constantly looking for opportunities to open-source more and more of our non-core tech. We love to hear from people who have eclectic tastes in languages, but we have an established codebase in Python and React so we’d hope to hire people who are keen to do great work in those languages on a day-to-day basis. Welcome to InsideArachnys, a series of interviews where we speak to the people behind the Arachnys platform. In this Welcome to InsideArachnys, a series of interviews where we speak to the people behind the Arachnys platform. This month, we Welcome to InsideArachnys, a series of interviews where we speak to the people behind the Arachnys platform. This month, we

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