Senior Machine Learning Engineer (Ecommerce)

TL;DR

Senior Machine Learning Engineer (Ecommerce): Designing and running ML systems for outfit discovery and fashion trend personalization with an accent on deep learning and recommendation systems. Focus on productionizing ML at scale, optimizing pricing and customer targeting algorithms, and maintaining real-time models in production.

Location: London, UK (HQ in Camden or Leavesden office)

Company

hirify.global is a global online fashion retailer providing a platform for millions of fashion lovers worldwide.

What you will do

• Build and improve ML algorithms for pricing and customer targeting within an agile, cross-functional team.
• Implement and deploy large-scale ML solutions supporting hundreds of millions of products and customers.
• Deploy and maintain both batch and real-time machine learning models in production environments.
• Evolve the codebase, tooling, and platforms while contributing to the design of new features.
• Support and mentor junior team members to develop their technical skills and confidence.
• Contribute to technical direction and define ML standards across the wider engineering community.

Requirements

• Professional experience applying machine learning in production environments, specifically with deep learning techniques.
• Experience with recommendation or ranking systems.
• Familiarity with modern deep learning frameworks and distributed computing for large-scale models.
• Experience training models across GPUs using data and/or model parallelism.
• Strong understanding of software engineering: data pipelines, CI/CD, containerisation, and MLOps practices.
• Ability to provide technical guidance and mentoring to less experienced engineers.

Culture & Benefits

• Exclusive employee discount and access to sample sales.
• 25 days paid annual leave plus one additional celebration day.
• Discretionary bonus scheme and private medical care scheme.
• Flexible benefits allowance (choice of extra cash or other benefits).
• Personalized learning opportunities and career development experiences.
• Summer hours: early finish at 3pm on Fridays during June, July, and August.