Senior AI Engineer at ASOS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Large language models, Generative AI, PyTorch, TensorFlow, Hugging Face, Prompt engineering, Azure, Docker, Kubernetes, MLOps, MLflow, CI/CD, Model monitoring, Data pipelines, Ethical AI

Industry

Retail Apparel and Fashion

Description

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. But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list. Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you. Job Description As a Senior AI Engineer, you’ll help build and scale AI‑driven solutions that power personalised experiences for millions of ASOS customers. This role focuses on designing reliable, responsible and high‑performing AI systems, using technologies such as large language models (LLMs), generative AI and modern data pipelines. You’ll work closely with Applied Scientists, Machine Learning Engineers and Product partners to improve how AI systems are developed and delivered. By contributing shared patterns, tooling and infrastructure, you’ll help teams experiment safely, learn quickly and deliver meaningful impact. What you’ll be doing Designing and developing AI solutions using LLMs and generative AI, including iterating on prompts and workflows to improve output quality Building and maintaining scalable data pipelines, applying best practices in data preparation to ensure quality and reliability Helping to standardise and reuse AI workflows, making it easier for teams across different domains to build consistently and efficiently Applying MLOps principles to AI systems, including CI/CD, monitoring, model management and feature governance Partnering with Cloud Infrastructure teams to design secure, cost‑effective environments for AI workloads Embedding ethical and responsible AI practices into development, proactively identifying and mitigating bias and risk Fine‑tuning pre‑trained models for specific use cases to improve relevance and performance Designing and contributing to evaluation frameworks for AI models, including automated testing and benchmarking to support ongoing improvement Qualifications About You Professional experience as an AI Engineer or similar role, with strong exposure to LLMs and generative AI. Understanding of the end-to-end AI lifecycle, from experimentation through deployment and monitoring. Proficiency in Python and familiarity with ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face). Experience with prompt engineering and optimisation for generative AI systems. Comfortable working with cloud platforms (preferably Azure) and containerisation (Docker/Kubernetes). Knowledge of MLOps tools and practices such as MLflow, CI/CD pipelines, and model monitoring. Passionate about ethical AI, bias mitigation, and improving developer experience through automation and tooling. Experience in fine-tuning large language models and adapting them for specific use cases. Strong understanding of evaluation methodologies for AI systems, including quantitative and qualitative metrics. Ability to design automated evaluation pipelines for continuous monitoring and improvement of AI models. 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

Responsibilities

You will design and develop scalable AI solutions using LLMs and generative AI to enhance personalized customer experiences. Additionally, you will implement MLOps principles and maintain robust data pipelines to ensure the reliability and ethical performance of AI systems.