Senior Machine Learning Engineer

ASOS; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A global fashion retailer is seeking a Senior Machine Learning Engineer to enhance the AI Style Discovery team's capabilities. This role involves improving machine learning systems to help customers shop according to their style and current fashion trends, working closely in a cross-functional team. Ideal candidates will have substantial experience in machine learning, particularly in deep learning, and be comfortable mentoring junior engineers. The position promotes in-person collaboration at least twice a week.

Benefits

Employee discount

Personal development opportunities

Employee sample sales

Access to LinkedIn learning materials

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Qualifications

• Professional experience in machine learning with expertise in deep learning.
• Proficient with deep learning frameworks for large-scale models.
• Experience in creating and managing multi-instance clusters across GPUs.
• Understanding of data pipelines, CI/CD, and observability.
• Comfortable providing technical leadership and mentoring junior engineers.

Responsibilities

• Build and improve causal algorithms for pricing and customer targeting.
• Implement and deploy at-scale solutions for hundreds of millions of customers.
• Deploy batch and online machine learning models at high scale.
• Continually develop and improve code and technology.
• Mentor and coach junior team members.

Skills

deep learning

distributed computing frameworks

software development lifecycles

technical leadership

ML Ops principles

Job description

Company Description

We're ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We're proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional AI Style Discovery team.

In this role, you will be a senior individual contributor who will be productionising machine learning systems that help our customers discover and shop complete outfits resonating with their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high-scale ML capabilities.

What you'll be doing:

1. You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricing and customer targeting space.
2. You will work alongside scientists to implement and deploy at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
3. You will deploy batch and online machine learning models at high scale.
4. You will continually develop and improve our code and technology, actively contributing to new feature conception.
5. You will mentor and coach junior team members, supporting their technical growth.
6. You will contribute to the team's technical direction, establish ML standards, and promote quality across ASOS's ML community, sharing your expertise.

We believe in the value of in-person collaboration, which is why our approach includes spending at least 2 days a week in the office. This fosters faster decision-making, deeper connections, and a culture of growth, creation, and success.

Qualifications

About You

1. You have professional experience in machine learning with expertise in deep learning and its practical applications in production environments.
2. You are proficient with deep learning frameworks and distributed computing frameworks for large-scale models.
3. You have experience creating and managing multi-instance clusters for distributed and parallel training across GPUs, demonstrating data and model parallelism skills.
4. You understand software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability), especially ML Ops principles, techniques, and tooling.
5. You are comfortable providing technical leadership, mentoring, and coaching to junior engineers, and contributing to wider engineering initiatives at ASOS.

Additional Information

BeneFITS

• Employee discount (hello ASOS discount!)
• ASOS Develops (personal development opportunities across the business)
• Employee sample sales
• Access to a vast array of LinkedIn learning materials
• 25 days paid annual leave plus a celebration day
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance, which can be taken as extra cash or used towards other benefits