Senior Applied Diffusion Engineer

Company Description

We're ASOS, the online retailer for fashion lovers all around the world. 

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. 

Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process 

Job Description

The Senior Applied Diffusion Engineer will lead the development of controllable image generation systems focused on fashion, styling, and visual consistency. This role will design and productionise LoRA pipelines, outfit generation systems, virtual styling workflows, and advanced diffusion-based capabilities powering both internal creative tooling and future consumer-facing experiences. 

We are building an internal AI fashion generation platform to accelerate creative production, styling workflows, and next-generation customer experiences. The platform is centered around state-of-the-art diffusion models, controllable generation pipelines, and proprietary fashion data. 

Key Responsibilities 

• Design, train, and optimise LoRA and fine-tuning pipelines for fashion-specific generation tasks. 
• Develop controllable image generation systems using Flux, SDXL, ControlNet, IP-Adapter, and related tooling. 
• Build production-ready ComfyUI workflows and custom nodes. 
• Create outfit generation and visual styling pipelines grounded in ASOS product and styling data. 
• Improve generation consistency, realism, garment fidelity, and brand alignment. 
• Collaborate with Studios, Design, Marketing, and Product teams to operationalise GenAI workflows. 
• Develop evaluation frameworks for image quality, style accuracy, and model performance. 
• Work closely with platform engineers to optimise inference performance and GPU utilisation. 
• Research and prototype new approaches in multimodal AI, and fashion generation

Qualifications

• Strong experience with PyTorch and diffusion model ecosystems. 
• Hands-on experience training LoRAs, DreamBooth models, or fine-tuning large vision models. 
• Experience with Flux, Stable Diffusion XL, Diffusers, ComfyUI, ControlNet, and IP-Adapter. 
• Strong understanding of computer vision concepts including segmentation, pose estimation, and embeddings. 
• Experience building production ML systems and inference pipelines. 
• Strong Python engineering skills. 
• Experience with GPU optimisation, CUDA fundamentals, TensorRT, or ONNX is advantageous. 
• Experience in fashion, e-commerce, creative tooling, gaming avatars, or virtual try-on is highly desirable. 

Additional Information

BeneFITS’ 

• Employee discount (hello ASOS discount!) 
• Employee sample sales 
• 25 days paid annual leave + an extra celebration day for a special moment 
• Discretionary bonus scheme 
• Private medical care scheme 
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits 
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role