Machine Learning Engineer (AI)

Location: hirify.global HQ in London is mentioned; the job's specific work format and candidate location requirements are not stated.

Company

hirify.global is an online fashion retailer whose technology platform serves millions of customers worldwide.

What you will do

• Design, build, and maintain production-grade machine learning systems for personalisation and product discovery.
• Develop and improve recommender systems, ranking models, and customer-facing machine learning capabilities.
• Deploy models in batch and real-time environments with a focus on reliability, scalability, and performance.
• Collaborate with Applied Scientists, Machine Learning Engineers, Software Engineers, and Product partners to productionise models.
• Monitor, evaluate, and iterate on models using customer behaviour and performance metrics.
• Contribute to MLOps tooling, engineering practices, and shared machine learning platform capabilities.

Requirements

• Experience developing, deploying, or operating machine learning solutions in production.
• Familiarity with modern machine learning frameworks and tools such as PyTorch, TensorFlow, XGBoost, or similar technologies.
• Experience training models with GPUs or interest in distributed computing and scalable machine learning systems.
• Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability, and containerisation.
• Appreciation of MLOps practices and the challenges of deploying machine learning systems at scale.
• Strong collaboration and communication skills across engineering, science, and product disciplines.

Nice to have

• Curiosity, adaptability, and enthusiasm for learning new technologies and approaches.
• Interest in next-generation recommendation systems, sequence-based modelling, outfit generation, or AI-driven styling.

Culture & Benefits

• Employee discount and access to employee sample sales.
• 25 days of annual leave plus an additional celebration day.
• Private medical care and matched pension contributions of up to 5%.
• Discretionary bonus scheme based on group financial and strategic performance.
• Personalised learning and career development opportunities.
• Summer hours with 3pm finishes on Fridays in June, July, and August; a shuttlebus is available for people based in the Leavesden office.