Senior Machine Learning Engineer (Personalisation)

Location: Hybrid in London, England, United Kingdom

Company

hirify.global is an online fashion retailer serving customers worldwide through a large-scale digital shopping platform.

What you will do

• Design, build, deploy, and improve machine learning systems for search, ranking, recommendations, and personalisation.
• Develop and operate batch and real-time machine learning models in production.
• Collaborate with Applied Scientists, Machine Learning Engineers, Software Engineers, and Product Managers to deliver measurable customer and commercial value.
• Support recommendation capabilities such as Similar Items, People Also Viewed, and personalised customer journeys serving millions of interactions.
• Improve the codebase, engineering practices, machine learning standards, and technical direction.
• Mentor engineers through coaching, knowledge sharing, and technical collaboration.

Requirements

• Experience applying machine learning and deep learning techniques in production environments.
• Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.
• Experience with distributed training infrastructure, GPU-based training environments, and parallelisation approaches.
• Strong understanding of software engineering principles, development lifecycles, and MLOps practices.
• Experience developing reliable and scalable machine learning systems in production.
• Ability to provide technical leadership, mentoring, and support to other engineers.
• Strong collaboration and communication skills across engineering, science, and product teams.
• Background in recommendation systems, search, ranking, personalisation, deep learning, or broader machine learning is relevant.

Culture & Benefits

• Full-time employment in a cross-functional Search & Recommendations team.
• Employee discount and access to employee sample sales.
• 25 days of paid annual leave plus an additional celebration day.
• Discretionary bonus scheme and private medical care scheme.
• Flexible benefits allowance, which can be taken as extra cash or used for other benefits.
• Personalised learning opportunities and in-the-moment development experiences.