Machine learning engineer in search

ASOS; Greater London; Presencial; GBP 120.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Employee discount (hello ASOS discount

Employee sample sales

25 days paid annual leave + an extra…

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance - which вы

Opportunity for personalised learning

Descripción de la vacante

ASOS ищет старшего инженера по машинному обучению для разработки и поддержки масштабируемых ML‑платформ, которые обеспечивают рекомендации, поиск и персонализацию для миллионов клиентов.

Вы будете работать в кросс‑функциональных командах, проектировать инфраструктуру, участвовать в CI/CD, и наставлять инженеров, помогать формировать долгосрочную стратегию ML‑платформ ASOS, работая в облаке и с современными технологиями.

Formación

• Опыт разработки производственных систем на масштабе.
• Опыт работы с распределёнными системами и микросервисами.
• Сильные навыки программирования на Python, Java, Kotlin, Go, Scala или аналогичных языках.
• Опыт работы в облаках AWS, Azure или GCP.
• Опыт Kubernetes, контейнеризации и облачных технологий.
• Знание Terraform, Pulumi или CloudFormation.
• Опыт мониторинга и наблюдаемости.
• Опыт разработки надёжных, масштабируемых систем.
• Умение работать в кросс‑функциональных командах.
• Опыт поддержки больших нагрузок обучения и вывода моделей.

Responsabilidades

• Проектирование и создание масштабируемых ML-платформ и инфраструктуры.
• Разработка надёжных backend‑сервисов для рекомендаций, поиска и персонализации.
• Создание и поддержка CI/CD конвейеров для ML и дата‑продуктов.
• Проектирование архитектуры пакетной и онлайн инференции в облаке.
• Повышение надёжности и производительности ML‑рабочих процессов через мониторинг и автоматизацию.
• Разработка инструментов и фреймворков для безопасного развёртывания моделей.
• Владение продакшн‑сервисами, инфраструктурой и операционными практиками.
• Оптимизация распределённых вычислений и использование ресурсов в облаке.
• Участие в IaC и стандартизации платформ.
• Участие в архитектурных решениях для рекомендаций, поиска и AI‑платформ.
• Наставничество инженеров и продвижение лучших практик.

Conocimientos

Python

Java

Kotlin

Go

Scala

Distributed systems

AWS

Kubernetes

Descripción del empleo

Описание

At ASOS, we're building the next generation of AI-powered Search and Discovery experiences for millions of customers worldwide. Our Search & Recommendations team develops the platforms, infrastructure and machine learning systems that power personalised product discovery, ranking, retrieval and recommendation experiences across ASOS. We operate high-scale production systems that enable data scientists and ML engineers to rapidly develop, deploy and monitor machine learning solutions in a reliable, scalable and cost-effective way. We're looking for a Senior Machine Learning Engineer - with strong Engineering experience - who enjoys solving complex engineering challenges at scale.

Задачи

• Design and build scalable machine learning platforms and infrastructure supporting model training, deployment and serving.
• Develop highly available backend services that power recommendation, search and personalisation experiences for millions of customers.
• Build and maintain CI/CD pipelines for machine learning and data products.
• Design batch and real-time inference architectures using modern cloud-native technologies.
• Improve reliability, resilience and performance across ML workloads through monitoring, observability and automation.
• Build tooling and frameworks that enable data scientists and ML engineers to deploy models safely and efficiently.
• Own production services, infrastructure and operational excellence practices, including incident management and root cause analysis.
• Optimise distributed compute workloads and resource utilisation across cloud environments.
• Drive Infrastructure-as-Code adoption and platform standardisation across machine learning systems.
• Contribute to architectural decisions across recommendation, search and AI platforms.
• Mentor engineers and promote software engineering best practices across the organisation.
• Help shape ASOS's long-term machine learning platform strategy.

Требования

• Strong software engineering fundamentals with experience designing and building production systems at scale.
• Experience developing distributed systems, microservices or high-throughput backend platforms.
• Strong programming skills in Python, Java, Kotlin, Go, Scala or similar languages.
• Experience building and operating services in AWS, Azure or GCP environments.
• Hands‑on experience with Kubernetes, containerisation and cloud-native technologies.
• Experience implementing CI/CD pipelines and automated deployment processes.
• Knowledge of Infrastructure-as-Code tools such as Terraform, Pulumi or CloudFormation.
• Experience with monitoring, alerting and observability tooling.
• Experience building reliable, resilient and scalable systems with a focus on performance and operational excellence.
• Experience working with data-intensive systems, streaming technologies or large‑scale distributed processing platforms.
• Comfortable providing technical leadership, mentoring engineers and influencing architectural direction.
• Strong collaboration and communication skills, with experience working in cross‑functional product teams.
• Experience supporting large‑scale model training and inference workloads.
• Experience supporting recommendation systems, search platforms, personalisation engines or other customer‑facing data products is advantageous;
• Exposure to machine learning systems, model serving, feature stores, training infrastructure or MLOps practices;
• Knowledge of vector search, ranking systems, retrieval architectures or recommendation platforms;
• Exposure to LLMs, Generative AI and production AI systems;
• Experience building internal developer platforms, engineering enablement tooling or shared capabilities used across multiple teams

Условия

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role