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- Tasks: Create and optimise AI models for stunning garment simulations and virtual try-ons.
- Company: Join CATCHES, a cutting-edge AI company transforming the fashion industry.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Be part of a dynamic team backed by industry leaders and innovators.
- Why this job: Make a real impact in luxury fashion with your AI expertise and creativity.
- Qualifications: Experience with image/video generation models and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
About: CATCHES builds physics-backed AI for garment simulation and virtual try-on, used by luxury fashion brands. Launched at Nvidia GTC 2026 after several years in stealth at the cutting edge of physics informed research and development, we are now handling enterprise scale consumer facing virtual try-on’s for brand partners globally. We are backed by investors from both sides of the industry, including Antoine Arnault, Natalia Vodianova Arnault, Roy Chung (founder, Apollo.io), Dillon Erb (founder, Paperspace), Gary Sheinbaum (former CEO, Tommy Hilfiger) and Sarah Willersdorf (former Head of Luxury, BCG).
Hiring locations: Remote (UK, Europe, USA)
Role: You will be working directly with our image and video models, owning quality, consistency, and performance at production scale. The outputs are consumer-facing and visible to a global audience of fashion brands and their customers, so the bar is high. That means fine-tuning, optimising inference, and making deliberate choices about model architecture and tooling. You will have real input into how we build and evolve our visual AI stack.
Requirements:
- Strong hands-on experience with diffusion-based image and/or video generation models.
- Proven ability to optimise VLMs for performance, quality, and consistency in production environments.
- Experience fine-tuning or adapting foundation models for specific domains or outputs.
- Solid Python skills and familiarity with model serving and inference infrastructure.
- Ability to evaluate and iterate on visual outputs with a rigorous, metrics-driven approach.
Nice to Have:
- Hands-on experience with FLUX and/or LTX.
- Familiarity with ControlNet, IP-Adapter, or similar conditioning approaches.
- Experience with video generation frameworks and temporal consistency techniques.
- Knowledge of garment, fashion, or e-commerce visual generation use cases.
- Experience with cloud-based GPU inference (GCP, AWS, or equivalent).
AI Engineer (Image & Video) in Wolverhampton employer: CATCHES
Contact Detail:
CATCHES Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Image & Video) in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the fashion tech space, especially those connected to CATCHES. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with image and video models. Share it on platforms like GitHub or even your own website to catch the eye of hiring managers.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in AI and fashion tech. Be ready to discuss how your experience aligns with CATCHES' mission and how you can contribute to their innovative projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer (Image & Video) in Wolverhampton
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with diffusion-based image and video generation models. We want to see how you've optimised VLMs in production environments, so don’t hold back on the details!
Tailor Your Application: Just like a well-fitted garment, your application should be tailored to us! Mention specific projects or experiences that relate to our work in fashion and AI. This will show us you’re genuinely interested in what we do.
Be Metrics-Driven: We love a rigorous approach! When discussing your past work, include metrics that demonstrate your success in fine-tuning models and improving performance. Numbers speak louder than words, right?
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at CATCHES
✨Know Your Models Inside Out
Make sure you’re well-versed in diffusion-based image and video generation models. Brush up on your experience with fine-tuning and optimising these models, as you'll likely be asked to discuss specific techniques you've used in production environments.
✨Showcase Your Python Skills
Since solid Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain how you've used Python in model serving and inference infrastructure. Have some examples ready!
✨Be Metrics-Driven
CATCHES values a rigorous, metrics-driven approach to evaluating visual outputs. Be prepared to discuss how you’ve used metrics to iterate on your work and improve quality and consistency. Bring specific examples of how data has influenced your decisions.
✨Understand the Fashion Context
Familiarise yourself with garment and fashion visual generation use cases. Knowing the industry will help you connect your technical skills to the role's requirements. Research current trends in virtual try-ons and how AI is shaping the fashion landscape.