3D Environments Engineer for AI & Vision – Hybrid in London

3D Environments Engineer for AI & Vision – Hybrid in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
A

At a Glance

  • Tasks: Create stunning 3D environments for AI and computer vision projects using Blender or Unreal Engine.
  • Company: Join Advai, a pioneering UK AI safety and security company.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in AI and synthetic data.
  • Why this job: Make a real impact in the AI field while honing your 3D modelling skills.
  • Qualifications: Hands-on 3D modelling experience and familiarity with Python; passion for ML is a plus.

The predicted salary is between 63000 - 77000 Β£ per year.

Advai, a UK AI safety and security company, is hiring a 3D Modelling Engineer to create realistic environments for AI and computer vision projects.

You will build and adapt scenes in Blender or Unreal Engine, generate synthetic datasets, and contribute to automation of modelling workflows.

The role suits hands-on 3D modellers with Python familiarity and an interest in ML and synthetic data.

#J-18808-Ljbffr

3D Environments Engineer for AI & Vision – Hybrid in London employer: Advai

Advai is an exceptional employer, offering a dynamic work environment in London where creativity meets cutting-edge technology. As a 3D Modelling Engineer, you'll have the chance to contribute to impactful AI projects while enjoying flexible hybrid working arrangements and opportunities for professional growth. With a strong emphasis on collaboration and inclusivity, Advai supports your development in synthetic data and machine learning, making it a rewarding place to advance your career.

A

Contact Details:

Advai Recruitment Team

We think you need these skills to ace 3D Environments Engineer for AI & Vision – Hybrid in London

3D Modelling
Blender
Unreal Engine
Python
Machine Learning (ML)
Synthetic Data Generation
Automation of Modelling Workflows