Senior ML Engineer - Platform & MLOps Infrastructure

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

Job summary

A leading online fashion retailer is looking for a Senior Machine Learning Engineer to design and implement scalable ML solutions across the organization. You will collaborate with various product teams to improve the quality of ML systems through standardization and best practices in ML development. The ideal candidate has professional experience in machine learning, strong Python skills, and proficiency with containerization and cloud platforms. ASOS offers a hybrid work model, requiring at least 2 office days per week.

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 a Machine Learning Engineer.
• Solid understanding of the ML lifecycle from experimentation to deployment.
• Familiarity with ML libraries like scikit-learn, XGBoost, PyTorch, TensorFlow.

Responsibilities

• Designing and developing shared ML templates and tooling.
• Promoting ML Ops principles including CI/CD and model monitoring.
• Collaborating with other teams to improve ML infrastructure.

Skills

Machine Learning

Python

CI/CD

Cloud platforms

Containerization (Docker/Kubernetes)

ML Ops

Tools

MLflow

scikit-learn

XGBoost

PyTorch

TensorFlow

Databricks

Job description

A leading online fashion retailer is looking for a Senior Machine Learning Engineer to design and implement scalable ML solutions across the organization. You will collaborate with various product teams to improve the quality of ML systems through standardization and best practices in ML development. The ideal candidate has professional experience in machine learning, strong Python skills, and proficiency with containerization and cloud platforms. ASOS offers a hybrid work model, requiring at least 2 office days per week.