Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing, building and operating production machine learning systems for outfit discovery and personalised fashion experiences with an accent on recommendation systems, deep learning, personalisation and large-scale inference. Focus on deploying and optimising batch and real-time models serving millions of customers while improving performance, reliability, observability and scalability across the ML lifecycle.

Location: Our HQ in London

Company

hirify.global is an online fashion retailer building AI-powered customer experiences.

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 measurable customer and business outcomes.
• Deploy and optimise batch and real-time machine learning models serving millions of customers.
• Improve ML system performance, reliability, observability and scalability across the full ML lifecycle.
• Contribute to technical design decisions, architecture discussions and engineering best practices.
• Mentor engineers and strengthen shared ML capabilities, tools and best practices across teams.

Requirements

• Experience designing, building and deploying machine learning systems in production environments.
• Experience applying deep learning to real-world business or customer challenges.
• Hands-on experience with modern deep learning frameworks such as PyTorch, TensorFlow or similar.
• Experience training and optimising ML models using distributed GPU infrastructure and large-scale datasets.
• Strong software engineering fundamentals and modern practices (CI/CD, containerisation, observability, automated testing).
• Experience with MLOps practices (model deployment, monitoring and lifecycle management) and ability to provide technical leadership and mentoring.

Culture & Benefits

• Employee discount and employee sample sales.
• 25 days paid annual leave plus an extra celebration day.
• Discretionary bonus scheme and private medical care scheme.
• Flexible benefits allowance (extra cash or other benefits).
• Personalised learning opportunities and in-the-moment experiences for career development.
• Summer hours: finish at 3pm on Fridays in June, July and August.