Machine learning engineer in search and recommendations

ASOS; Greater London; On-site; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Employee discount (ASOS)

25 days paid annual leave + 1 extra

Discretionary bonus

Private medical care

Flexible benefits allowance

Learning & development opportunities

Job summary

ASOS is hiring for an engineering leader to design and scale AI-powered search and discovery platforms. You will build scalable ML infrastructure, deploy reliable services, and drive CI/CD for data products across cloud environments.

You’ll mentor engineers, influence architecture, and push platform standardisation to accelerate product innovation. Join ASOS in shaping production AI systems, overseeing incident response and performance optimisations while collaborating with cross-functional

Qualifications

• Strong software engineering fundamentals for production systems at scale.
• Experience with distributed systems, microservices or high-throughput backends.
• Programming in Python, Java, Kotlin, Go, or Scala.
• Experience operating services in AWS/Azure/GCP clouds.
• Hands-on Kubernetes and cloud-native tech experience.
• CI/CD pipelines and automated deployment expertise.
• Infrastructure as code with Terraform, Pulumi or CloudFormation.
• Observability tooling, monitoring and incident management.
• Experience with data-heavy or real-time distributed processing.
• Exposure to ML systems, model serving or MLOps is a plus.
• Strong leadership, mentoring, and cross-functional collaboration.

Responsibilities

• Design and build scalable ML platforms and infrastructure for training, deployment and serving.
• Develop highly available backend services powering recommender, search and personalization features.
• Create and maintain CI/CD pipelines for ML/data products.
• Architect batch and real-time inference using modern cloud-native tech.
• Improve reliability, observability and performance of ML workloads.
• Build tooling to enable scientists and engineers to deploy models safely.
• Own production services and incident management with RCA.
• Optimise distributed compute and resource utilisation across clouds.
• Promote IaC adoption and platform standardisation across ML systems.
• Contribute to architectural decisions across recommendation, search and AI platforms.
• Mentor engineers and champion software engineering best practices.

Skills

Software engineering fundamentals

Distributed systems

Python

Java

Kotlin

Go

Scala

Cloud platforms (AWS/Azure/GCP)

Kubernetes

CI/CD pipelines

Infrastructure as code (Terraform/Pulu

CloudFormation

Observability/Monitoring

ML systems experience

Technical leadership

Cross-functional collaboration

Tools

Kubernetes

Terraform

Pulumi

CloudFormation

Job description

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.

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.
• Exposure to machine learning systems, model serving, feature stores, training infrastructure or MLOps practices.
• 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.
• Будет плюсом: Experience supporting recommendation systems, search platforms, personalisation engines or other customer-facing data products is advantageous; 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