Senior MLOps Engineer — Hybrid, Scale ML Platforms

ASOS; Greater London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

An online fashion retailer based in Greater London is seeking a Senior Machine Learning Engineer to design reusable ML templates and collaborate with product teams to enhance ML solutions. The role involves driving standardisation of workflows, enabling teams to productionise ML models, and implementing MLOps practices. The ideal candidate should have professional experience as a Machine Learning Engineer, strong skills in Azure technologies, Python, and familiarity with ML tools. Join a culture fostering creativity and growth.

Benefits

Employee discount

Personal development opportunities

Employee sample sales

LinkedIn learning materials access

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Qualifications

• Professional experience as a Machine Learning Engineer, ideally with exposure to platform or infrastructure-focused work.
• Solid understanding of the end-to-end ML lifecycle, from experimentation through deployment and monitoring.
• Experience with ML Ops tools and practices such as MLflow, model registries, containerisation, and CI/CD pipelines.

Responsibilities

• Designing and developing shared ML engineering templates, tooling, and infrastructure.
• Driving standardisation and reusability of ML workflows across diverse product domains.
• Enabling teams to productionise ML models efficiently by providing best practices, templates, and technical support.

Skills

Machine Learning

Python

Azure Technologies

MLOps

Automation

Tools

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

scikit-learn

XGBoost

Job description

An online fashion retailer based in Greater London is seeking a Senior Machine Learning Engineer to design reusable ML templates and collaborate with product teams to enhance ML solutions. The role involves driving standardisation of workflows, enabling teams to productionise ML models, and implementing MLOps practices. The ideal candidate should have professional experience as a Machine Learning Engineer, strong skills in Azure technologies, Python, and familiarity with ML tools. Join a culture fostering creativity and growth.