We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.
With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and roleCVML Team
At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
CVML Engineer
As a Computer Vision and Machine Learning (CVML) Engineer, you will be responsible for developing Machine Learning (ML) models. You will collaborate with the CVML team on solving problems and contribute toward an Agile process, as well as, supporting the CVML model deployment and production monitoring processes.
What you will do
- Be Involved in research and development efforts to advance product-critical computer vision and machine learning solutions.
- Implement and evaluate the newly developed algorithms in large-scale databases to validate the performance in both throughput and accuracy.
- Assist in computer vision projects through the planning, data collection, annotation, training, deployment, and iteration phases.
- You will be working with scientific computation packages in Python and C++ languages.
- You will be working with OpenCV, Keras, PyTorch, Tensorflow, or similar deep-learning frameworks.
- Bachelor's or higher in Computer Science, Electrical Engineering, or related field.
- Excellent communication and collaboration abilities.
- A strong work ethic and dedication.
- Familiarity with convolutional neural networks, recurrent neural networks, and transformer models.
- Knowledge and experience in Python and C++.
- Experience in training deep learning models using Keras, PyTorch, JAX or TensorFlow.
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to [email protected] and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.
Unleash your potential and be part of our mission to power safe and rewarding digital lives.
Top Skills
What We Do
Global digital identity and fraud solutions, working to create a world where everyone can transact online with confidence
Our market-leading technology, data and expertise help our customers improve digital access, deliver a seamless experience and establish trust so that they can transact quickly, safely and securely with their customers online.
Headquartered in the UK and with over 1,000 team members across 16 countries, we work with 20,000 customers in over 70 countries. Some of the world's best-known businesses rely on GBG to provide digital services and keep the economy moving, from US e-commerce giants to Asia's biggest banks and European household brands.
