Senior Machine Learning Engineer (Recommendations/Search)

Location: London, England, United Kingdom; workplace type: hybrid

Company

hirify.global is an online fashion retailer serving customers worldwide through a platform used by millions.

What you will do

• Design, build, and operate production machine learning systems for outfit discovery and personalised fashion experiences.
• Partner with Machine Learning Scientists to deploy deep learning models and deliver customer and business outcomes.
• Deploy and optimise batch and real-time models serving millions of customers.
• Develop recommendation, personalisation, and AI-driven fashion discovery capabilities, including generative AI applications.
• Improve performance, reliability, observability, and scalability across the machine learning lifecycle.
• Contribute to architecture and engineering practices, mentor engineers, and develop shared ML capabilities used across teams.

Requirements

• Experience designing, building, and deploying machine learning systems in production.
• Strong understanding of machine learning engineering principles and modern software engineering practices.
• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
• Experience training and optimising models with large datasets and distributed compute infrastructure.
• Experience with recommendation systems, ranking, retrieval, personalisation, or related machine learning domains.
• Knowledge of MLOps, including model deployment, monitoring, and lifecycle management.
• Experience building reliable, observable, and scalable services in cloud environments.
• Comfort providing technical leadership and mentoring other engineers.
• Strong collaboration and communication skills in cross-functional product teams, plus curiosity about emerging AI technologies and practical LLM and generative AI applications.

Culture & Benefits

• Full-time hybrid role within the Search and 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 that can be taken as cash or used for other benefits.
• Personalised learning and in-the-moment development opportunities.