Senior AI Engineer

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:

• 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.