FaceSwap Supervisor - ILM London

Position Summary FaceSwap is a new, exciting, and growing field within the visual effects industry, using Machine Learning (AI) to create digital faces and likenesses. We are currently looking for people with a keen eye for, and curiosity about, photo realism, as well as those comfortable with the technical side of visual effects. The FaceSwap Supervisor will be a pioneer and trailblazer in a new area of visual effects technology. While a background in compositing is helpful, artists with visual effects experience in any field are encouraged to apply. What You’ll Do: Implement and lead all aspects of a variety of deep learning based technologies to produce photorealistic images, including open source tools, and proprietary in house software Collaborate with VFX supervisors, Head of department, to help develop the creative and technical approach for FaceSwap workflows on a variety of projects. Collaborate with global CGTS/FaceSwap group to help prioritize technical/workflow related tasks Assist bidding team and producers with evaluating and bidding potential FaceSwap work on future projects Guides FaceSwap work and ensures the technical quality meets expectations, as well as making aesthetic decisions for these groups, including reviewing work from artists and leads Supervise the training progress, and assess improvements and quality; making vital adjustments to the configuration of training Stay up to date on all the latest technology, and be able to implement the latest research with RnD support Drive the department innovation and design new workflows for new ML implementations. Supervisors should drive creative and tech direction of the team for the whole show/multiple show Create templates to facilitate model evaluation, that can be handed over to artists if needed Helps Troubleshoots technical issues, maintain tickets and test tool development. Delegating and scheduling tasks to FaceSwap artists along with Production. Ability to prioritize task load, and manage your time well on multiple projects with tight schedules. Help mentor emerging talent, share techniques, demonstrate skills and build tutorials if needed. Building and maintaining documentation of your processes to help with dissemination of knowledge across sites. Support the development of up to date training material and take part in training sessions to expand FaceSwap knowledge in the team What We’re Looking For: Extensive experience in visual effects or CG industry Experience using or training deep neural networks models, such as Nuke Copycat, DeepFaceLab or other face swapping tools. Experience working on projects with realistic looking CGI humans or other face replacement approaches A curious mind that is interested in learning new things, and enjoys experimentation and testing Flexible and adaptable to changing workflows, detail oriented and meticulous Expert knowledge of Nuke to prepare precomps and slap comps Python scripting skills to automate and streamline repeated day-to-day tasks Excellent organizational, communication, and interpersonal skills. Can collaborate with artists from other teams Comfortable working with or learning command-line driven tools Interested in, or have basic familiarity with, deep neural networks Nice to have: Experience with Keen Tools/ ComfyUI Experience leading a project and supervising a team Closing date: Friday 17th July 2026 This role is Hybrid, which means the employee will be required to work 2 days on-site per week at a Company designated location, and occasionally from home. JoinILM #J-18808-Ljbffr