Machine learning engineer for personalisation

ASOS; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Employee discount (hello ASOS discount

Employee sample sales

25 days paid annual leave + extra day

Discretionary bonus scheme

Private medical care

Flexible benefits allowance

Personalised learning and experiences

Job summary

ASOS is seeking a Senior Machine Learning Engineer to join the Search & Recommendations team, building the ML systems that help millions of customers discover products every day. You will work within ASOS's Search & Recommenders area, shaping ranking, personalization and deployment across the customer journey.

You'll collaborate with Applied Scientists and engineers to deploy ML solutions that deliver measurable customer and commercial value, mentor peers, and help evolve ML standards across the

Qualifications

• Experience applying machine learning and deep learning techniques in production environments.
• Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.
• Experience working with distributed training infrastructure, GPU-based training environments and parallelisation approaches.
• Strong understanding of software engineering principles, development lifecycles and MLOps practices.
• Experience developing reliable, scalable machine learning systems in production.
• Comfortable providing technical leadership, mentoring and support to other engineers.
• Strong collaboration and communication skills, with the ability to work effectively across engineering, science and product teams.

Responsibilities

• Work as part of a cross-functional team designing, building and improving machine learning systems that power search, ranking and recommendation experiences.
• Collaborate closely with Applied Scientists and engineers to develop and deploy machine learning solutions that deliver measurable customer and commercial value.
• Build, deploy and maintain batch and real-time machine learning models in production environments.
• Contribute to recommendation, ranking and personalisation capabilities that support millions of customer interactions each day.
• Continuously improve our systems, codebase and engineering practices while contributing ideas for new features and capabilities.
• Support and mentor other engineers through coaching, knowledge sharing and technical collaboration.
• Contribute to the team's technical direction and help evolve machine learning standards, best practices and ways of working across the wider ML community.

Skills

Machine Learning

Deep Learning

Distributed Computing

Software Engineering

Leadership / Mentoring

Tools

GPU Training

Distributed Training

Job description

Описание

We're looking for a Senior Machine Learning Engineer to join our Search & Recommendations team, where we're building the machine learning systems that help millions of customers discover products every day. Sitting within ASOS's Search & Recommenders area, the team is responsible for the recommendation, ranking and personalisation systems that sit at the heart of the customer journey.

Задачи

• Work as part of a cross-functional team designing, building and improving machine learning systems that power search, ranking and recommendation experiences.
• Collaborate closely with Applied Scientists and engineers to develop and deploy machine learning solutions that deliver measurable customer and commercial value.
• Build, deploy and maintain batch and real-time machine learning models in production environments.
• Contribute to recommendation, ranking and personalisation capabilities that support millions of customer interactions each day.
• Continuously improve our systems, codebase and engineering practices while contributing ideas for new features and capabilities.
• Support and mentor other engineers through coaching, knowledge sharing and technical collaboration.
• Contribute to the team's technical direction and help evolve machine learning standards, best practices and ways of working across the wider ML community.

Требования

• Experience applying machine learning and deep learning techniques in production environments.
• Experience using deep learning frameworks and distributed computing technologies to build and deploy large-scale machine learning models.
• Experience working with distributed training infrastructure, GPU-based training environments and parallelisation approaches.
• Strong understanding of software engineering principles, development lifecycles and MLOps practices.
• Experience developing reliable, scalable machine learning systems in production.
• Comfortable providing technical leadership, mentoring and support to other engineers.
• Strong collaboration and communication skills, with the ability to work effectively across engineering, science and product 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