Senior AI Engineer: LLMs, MLOps & Responsible AI

ASOS; Greater London; On-site; GBP 100,000 - 125,000; Full time

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.