Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and optimizing recommendation and ranking systems to power product discovery for millions of customers with an accent on real-time personalization and scalable ML production systems. Focus on deploying production-grade models, developing sequence-based recommendations, and implementing MLOps best practices.

Location: Our HQ in London

Company

hirify.global is a global online fashion retailer dedicated to providing a creative and inclusive platform for fashion lovers worldwide.

What you will do

• Design and build production-grade machine learning systems for personalization and discovery.
• Develop and improve recommender systems and ranking models used across the customer journey.
• Deploy models into batch and real-time environments, ensuring scalability, reliability, and performance.
• Collaborate with data scientists to translate experimental models into production-ready systems.
• Monitor, evaluate, and iterate on models using real-world behavioral signals.
• Contribute to engineering best practices, tooling, and shared ML platform capabilities.

Requirements

• Experience contributing to the development or deployment of machine learning solutions.
• Familiarity with modern machine learning frameworks and model deployment workflows.
• Experience training models using GPUs or an interest in distributed and scalable systems.
• Understanding of software engineering practices including version control, CI/CD, containerization, and monitoring in MLOps contexts.
• Collaborative working style with clear communication skills.
• Must be based in or be able to work from London

Culture & Benefits

• Exclusive employee discount and sample sales.
• 25 days paid annual leave plus an extra celebration day for special moments.
• Private medical care scheme and pension with matched contributions up to 5%.
• Discretionary annual bonus based on group financial and strategic performance.
• Summer hours: finish at 3pm on Fridays during June, July, and August.
• Free shuttlebus service for those based in the Leavesden office.