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SeniorFull-timeMachine LearningML
Salary Range
$99,450 - $134,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
We are seeking a Machine Learning Engineer with a strong foundation in deep learning/machine learning to join a cross-functional team. You'll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data-rich challenges.
In this role, you'll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.
Key Responsibilities
• Collaborate with cross-functional teams to design, implement, and optimise machine learning models for real-world business use cases. With a focus at the moment on recommender systems.
• Deploy and maintain both batch and real-time machine learning systems at scale.
• Work alongside data scientists to translate experimental models into robust production-ready solutions.
• Continuously improve model accuracy, system efficiency, and platform capabilities.
• Contribute to defining team best practices and engineering standards in machine learning development.
• Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.
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About ASOS
ASOS is a leading international online fashion and beauty retailer, offering a diverse range of clothing, footwear, and accessories for men and women. Founded in London in 2000, the company has grown into a global brand, serving millions of customers across numerous countries. ASOS leverages its digital-first approach to provide a seamless shopping experience, combining trend-focused fashion with technology-driven solutions. The name "ASOS" is an acronym for "As Seen On Screen," reflecting its initial focus on selling clothing featured in popular media, a concept that has evolved into a comprehensive fashion platform. The company's main products include ready-to-wear apparel, footwear, beauty products, and accessories, all curated to cater to fashion-conscious consumers. ASOS stands out for its extensive size range, inclusive marketing, and fast fashion model, which ensures up-to-date styles inspired by current trends. Its target audience spans various demographics, from young adults to professionals, with a particular emphasis on affordability and accessibility. Key features of the ASOS platform include personalized recommendations, a user-friendly website and app, and robust logistics for efficient delivery and returns. ASOS has achieved significant milestones, including becoming one of the largest online fashion retailers in the world, with a strong presence in Europe, North America, and beyond. The company is known for its commitment to sustainability, offering an eco-friendly edit and initiatives to reduce its environmental impact. Its market position is reinforced by a loyal customer base and a reputation for innovation, particularly in e-commerce and digital marketing. ASOS continues to differentiate itself through its inclusive approach, diverse product offerings, and ability to adapt to the ever-changing landscape of fashion.
