Simplifying identity for everyone.
Identity Verification • Computer Vision • Machine Learning • Culture • Artificial Intelligence
501 - 1000
💰 Grant on 2020-08
November 16, 2023
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
AWS
Computer Vision
Docker
Git
GitLab
Go
GRPC
Keras
Kubernetes
Machine Learning
Numpy
OpenCV
Python
React
Redis
Ruby
Tensorflow
TypeScript
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Simplifying identity for everyone.
Identity Verification • Computer Vision • Machine Learning • Culture • Artificial Intelligence
501 - 1000
💰 Grant on 2020-08
- Develop state-of-the-art machine learning-backed services for automated biometric verification, document classification and extraction, as well as fraud analysis; • Build automated pipelines capable of minimising the time and effort of bringing support to new models and capabilities; • Iterate over research projects to optimise them and deploy them to production; • Continuously improve monitoring and tracing to provide a highly available service for our customers. Work in a cross-functional team to design, build, test and ship fraud-catching products. Work closely with researchers to take research developed ML models to production. Use off-the-shelf machine learning solution to provide simple initial solutions for fraud detection. Design and implement efficient pre-processing steps around digital images or video files Extend existing ML pipeline to fit an increasing array of use cases Analyze algorithmic performances and identify common issues and potential improvements.
Good knowledge and experience with Python Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX Interested in developing, deploying and monitoring production-facing machine learning systems You're enthusiastic and technically curious about ML technologies Capable with testing frameworks, such as PyTest Experience with dependency management tools (e.g. Poetry) Nice to have: Knowledge of Docker and Kubernetes Familiarity with various different image and video file formats Understanding of Computer Vision and standard Machine Learning algorithms (like decision trees, neural networks, support vector machines, clustering,...)
25 days annual leave plus a day off for your Birthday. Two paid volunteering days per year.* Bupa Private Medical and Dental Insurance* Life Assurance (3x Annual Base Salary)* Pension with The People’s Pension (employer contribution 4% of base salary)* Generous paid parental leave Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnably with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events Expense up to £300 (or local equivalent) to purchase workstation setup equipment The opportunity to become a member of Onfido’s resource groups in order to learn different skills in our belonging groups *after passing probation
Apply NowOctober 24, 2023
October 24, 2023
11 - 50
Computer Vision
Deep Learning
Integration Testing
Machine Learning
Optimization
Python
PyTorch
Tensorflow
Unity