Senior Backend Developer (Golang & Python) in London

Overview Who We Are
Born in 2014, Yoti is a digital identity and biometric technology company that makes it safer for people to prove who they are. The Yoti app was designed with privacy at its core, giving people a secure way to prove their identity and share third-party credentials with organisations and other people. Today, we have over seventeen million app downloads around the world. We have expanded our offering to a suite of business solutions that span identity verification, age verification and estimation, e-signing, AI anti-spoofing technologies and we continue to think of innovative new offerings. From day one, weve been working to fix an outdated identity system with policy advisors, think tanks, researchers, academics, humanitarian bodies, our users and everyday people.
Purpose of the Role: Working closely with the internal R&D team to deploy cutting-edge deep learning technology to power crucial Yoti products.
Role Dimensions: Sitting in the AI Services Team, reporting to the Head of AI Services.
Responsibilities
Working closely with the team members and the team lead to ensure that technology development and delivery are implemented to specification and of good quality.
Deploy R&D machine learning models that have reached enough technological maturity into production (either in data centres, on cloud platforms, or on devices).
Work closely with our R&D team to support planning, development, maintenance, and testing of machine learning models while leveraging software engineering best practices.
Support the development and maintenance of machine learning tooling and infrastructure for using production data in R&D research projects to improve the scale and efficiency of machine learning development.
Development and maintenance of the production data pipeline for the R&D team.
Identify and evaluate new patterns and technologies to improve the performance, maintainability, and traceability of our machine learning systems.
Knowledge, Skills, Qualifications And Experience
Experience writing network-facing server software in Go.
Experience in computer vision and Python.
Knowledge of or interest in Triton, PyTorch, or TensorFlow.
Knowledge of or interest in Docker and/or Kubernetes.
Linux knowledge.
Knowledge of modern version control tools (we use git), and how to use them effectively (proper commit messages, code review).
Familiarity with shell scripting and command line tools.
Knowledge of or interest in cryptography.
Previous exposure of working as a part of a R&D team will be beneficial, but not necessary.
Ensure that tech development and delivery are implemented to specification and with top quality.
Actively interested in learning more about technology, and keeping up to date with new developments.
As part of a close-knit team, you are able to communicate effectively with your colleagues.
Interview Process
Stage 1 – Call with a talent acquisition team member (30 minutes) – Virtual
Stage 2 – Call with Head of AI Services (45 minutes) – Virtual
Stage 3 – Coding Assessment
Stage 4 – Final Interview (90 minutes) – Virtual
Whats in it for you?
Flexible working
Performance based discretionary annual bonus
Share Options
Internal Share Market
Private Medical Insurance
Life Insurance
Pension
Cycle to work scheme
Electric Car Scheme
25 days holiday (plus