ASOS

E-Commerce

SeniorAppliedDiffusionEngineer

£85–120k ~AI est. London, England, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Applied Diffusion Engineer at ASOS. Skills: Diffusion models, LoRA pipelines, Image generation, Fashion AI. Design LoRA pipelines. Design fine-tuning pipelines”

What You'll Achieve.

Accelerate creative production; Accelerate styling workflows; Enhance customer experiences

Industry & Context.

E Commerce
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

Experience with PyTorch, Experience with diffusion models, Hands-on experience training LoRAs, Hands-on experience training DreamBooth models, Hands-on experience fine-tuning large vision models, Experience with Flux, Experience with Stable Diffusion XL, Experience with Diffusers, Experience with ComfyUI, Experience with ControlNet, Experience with IP-Adapter, Understanding of computer vision concepts, Experience building production ML systems, Experience building inference pipelines, Python engineering skills

Nice to Have

Experience with GPU optimisation, Experience with CUDA fundamentals, Experience with TensorRT, Experience with ONNX, Experience in fashion, Experience in e-commerce, Experience in creative tooling, Experience in gaming avatars, Experience in virtual try-on

What You'll Do.

Design LoRA pipelines

Design fine-tuning pipelines

Train fine-tuning pipelines

Optimise LoRA pipelines

Optimise fine-tuning pipelines

Develop controllable image generation systems

Build production-ready ComfyUI workflows

Build custom ComfyUI nodes

Create outfit generation pipelines

Create visual styling pipelines

Improve generation consistency

Improve garment fidelity

Improve brand alignment

Collaborate with Studios

Collaborate with Design

Collaborate with Marketing

Collaborate with Product teams

Operationalise GenAI workflows

Develop evaluation frameworks

Work closely with platform engineers

Optimise inference performance

Optimise GPU utilisation

Research multimodal AI

Prototype multimodal AI

Research fashion generation

Prototype fashion generation

How You'll Work.

Team & Collaboration

Studios; Design; Marketing; Product teams; Platform engineers

Full Job 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 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 fa

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