ASOS
Senior Machine Learning Engineer (Recommendations)
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About the Company
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.
Our commitment to inclusion:
- Proud members of Inclusive Companies
- Disability Confident Committed
- Signatories of Business in the Community Race at Work Charter
- Consistently rank in the Inclusive Top 50 Companies Employer List (#8 in 2023)
Everyone needs some help showing up as their best self. Let our Talent team know if you need adjustments throughout the process in whatever way works best for you.
Job Title & About the Role
We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team.
In role, you will:
- Serve as a senior individual contributor (IC), productionising machine learning systems that help customers discover and shop full outfits aligned with their personal style and fashion trends.
- Elevate the fashion experience through high-scale ML capabilities across millions of products and customers.
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Key Responsibilities
- Collaborate with a cross-functional team to build and enhance our causal algorithms for pricing and customer targeting.
- Partner closely with data scientists to implement large-scale solutions, delivering measurable business impact.
- Deploy batch and online ML models at high scale, optimising for performance and reliability.
- Continuously improve code and technology, driving the conception of new features.
- Support junior team members through mentoring and coaching, fostering their professional growth.
- Shape the team’s technical direction, establish ML standards, and champion quality engineering across ASOS’s ML community.
Requirements & Qualifications
About You:
- Professional expertise in deep learning with hands-on production experience.
- Proficient in deep learning frameworks and distributed computing for scaling large-scale ML models.
- Ability to set up, manage, and optimise multi-instance clusters (GPU clusters), demonstrating mastery of data parallelism/DMP.
- Strong grasp of ML Ops principles, including data pipelines, CI/CD, containerisation, and observability.
- Experience providing technical leadership and mentoring 1–2 junior engineers.
- Willingness to contribute to broader engineering initiatives at ASOS.
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Benefits
- Employee discount (exclusive ASOS offers!)
- Free products from employee sample sales
- 25 days paid annual leave + an extra day for special occasions (yearly celebration)
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance – choose between extra cash or other benefits
- Personalised learning & in-the-moment experiences to help you thrive and excel
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