Senior Machine Learning Engineer (Deep Learning)

TL;DR

Senior Machine Learning Engineer (Deep Learning): Productionizing machine learning systems to help customers discover and shop complete outfits with an accent on deep learning and high-scale ML capabilities. Focus on deploying batch and online models at scale, implementing causal algorithms for pricing and targeting, and driving MLOps standards.

Location: Our HQ in London

Company

hirify.global is a global online fashion retailer dedicated to providing customers the confidence to be themselves through technology and innovation.

What you will do

• Productionize machine learning systems for the Outfits Discovery team to improve outfit discovery and shopping experiences.
• Implement and deploy at-scale solutions for millions of customers and products, driving measurable business impact.
• Deploy batch and online machine learning models at high scale.
• Develop and improve causal algorithms for the pricing and customer targeting space.
• Mentor and coach junior team members to support their technical progress.
• Contribute to the team's technical direction and establish ML standards across the hirify.global ML community.

Requirements

• Experience applying machine learning in production settings with exposure to deep learning techniques.
• Experience working with deep learning and distributed computing frameworks to support large-scale models.
• Familiarity with training models across multiple GPUs using distributed or parallel approaches.
• Solid understanding of software development lifecycles, including data pipelines, CI/CD, containerization, and observability.
• Experience or interest in MLOps tooling.
• Ability to provide technical guidance and mentorship to other engineers.

Culture & Benefits

• Exclusive employee discount and access to sample sales.
• 25 days paid annual leave plus an extra celebration day for special moments.
• Discretionary bonus scheme and private medical care scheme.
• Flexible benefits allowance and pension with matched contributions up to 5%.
• Personalized learning opportunities to enable professional growth.
• Summer hours: finish at 3pm on Fridays during June, July, and August.