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Senior AI Engineer: LLMs, MLOps & Responsible AI

ASOS

Greater London

On-site

GBP 100,000 - 125,000

Full time

Yesterday
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Job summary

A leading online fashion retailer is looking for a Senior AI Engineer to innovate and scale AI-driven solutions for enhancing customer experiences. You will work with various teams to deliver ethical and high-performing AI systems, leveraging LLMs and generative AI. Candidates must have a strong background in AI engineering, proficiency in Python, and hands-on experience with tools like PyTorch and TensorFlow. The role offers exciting opportunities for professional growth and a range of employee benefits including discounts and a robust medical care scheme.

Benefits

Employee discount
Personal development opportunities
Employee sample sales
Access to LinkedIn learning materials
25 days paid annual leave
Discretionary bonus scheme
Private medical care scheme
Flexible benefits allowance

Qualifications

  • Professional experience as an AI Engineer or similar role, with strong exposure to LLMs and generative AI.
  • Solid 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).

Responsibilities

  • Designing and developing AI solutions using LLMs and generative AI.
  • Building scalable data pipelines and applying advanced data preparation techniques.
  • Implementing MLOps principles for AI systems.

Skills

LLMs
Generative AI
Python
MLOps
Cloud platforms (Azure)
Docker
Kubernetes
Prompt engineering
Evaluation methodologies

Tools

PyTorch
TensorFlow
Hugging Face
MLflow
Job description
A leading online fashion retailer is looking for a Senior AI Engineer to innovate and scale AI-driven solutions for enhancing customer experiences. You will work with various teams to deliver ethical and high-performing AI systems, leveraging LLMs and generative AI. Candidates must have a strong background in AI engineering, proficiency in Python, and hands-on experience with tools like PyTorch and TensorFlow. The role offers exciting opportunities for professional growth and a range of employee benefits including discounts and a robust medical care scheme.
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