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This listing was closed on Oct 16, 2026.
Browse Open JobsSenior AI Engineer – Machine Learning (Computer Vision)
Summary by AIEngineer.careers
Senior AI Engineer – Machine Learning (Computer Vision) is a Computer Vision Engineer role (full-time). with ASOS. in GREATER LONDON, GB. Imported listing (source: drjobpro.com). Apply on the employer's site (drjobpro.com).
Imported listing (source: drjobpro.com) · Apply on drjobpro.com
GREATER LONDON · GB
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from drjobpro.com
ASOS is seeking a Senior AI Engineer to build and scale computer vision and generative AI solutions for their Studios team. The role focuses on designing high-performing AI systems using deep learning embeddings, LLMs, and multimodal signal processing to enhance product imagery and customer experiences. You will collaborate with product and engineering teams to deploy scalable data pipelines and apply MLOps best practices.
Responsibilities
- Design and develop AI solutions using LLMs, generative AI, and computer vision techniques.
- Build and maintain scalable data pipelines for high-quality data preparation.
- Apply MLOps principles including CI/CD, monitoring, and model management.
- Fine-tune pretrained models and implement RAG workflows for specific use cases.
- Embed ethical and responsible AI practices, mitigating bias and risk.
Requirements
- Proficiency in Python and experience with ML libraries like PyTorch, TensorFlow, or Hugging Face.
- Hands-on experience in fine-tuning and deploying deep learning solutions for computer vision.
- Experience with generative AI systems, prompting, RAG, and LLM fine-tuning.
- Familiarity with software development practices: version control, containerization, and CI/CD.
ASOS
Greater London · GB · 2512+ employees
ASOS is a global online fashion retail company that provides a platform for shopping clothing, accessories, and beauty products from own brands and partner brands. The company focuses on the 20-something demographic and utilizes an agile commercial model, including flexible fulfillment services.
