
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Machine Learning Engineer – Outfits Discovery Team
About ASOS
We’re ASOS, the online retailer for fashion lovers worldwide. Our mission is to give customers the confidence to be whoever they want to be—and we foster the same belief for our employees. At ASOS, you’re free to be your true self without judgement, while channeling your creativity into a platform used by millions.
We’re proud members of:
- Inclusive Companies
- Disability Confident Committed
- Signatories of the Business in the Community Race at Work Charter
- 8th place in the Inclusive Top 50 Companies Employer list
We welcome diversity in how every individual wants to participate. If you need any adjustments throughout the process, let our Talent team know—we’re here to support you.
Job Title: Senior Machine Learning Engineer (Outfits Discovery Team)
We’re looking for an experienced Senior Machine Learning Engineer specialising in deep learning to join our cross-functional Outfits Discovery team. In this role, you’ll:
- Produce high-impact, production-grade machine learning systems that help our customers discover and shop complete outfits tailored to both their personal style and current trends.
- Elevate the fashion experience by shipping advanced ML capabilities delivered at massive scale.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Serve as senior IC in building and scaling our causal algorithms for pricing and customer targeting.
- Collaborate with scientists and engineers to implement and deploy at-scale solutions for millions of customers/products, driving measurable business value.
- Deploy batch and online machine learning models at high performance and low latency in production environments.
- Continuously develop, refine, and innovate our code and technology, proposing and leading the creation of cutting-edge ML features.
- Mentor junior team members, guiding their technical growth and improving the wider ML engineering workflow.
- Shape the team’s technical direction, establish best practices, and enhance ASOS’s ML standards, while sharing expertise across the organisation.
Qualifications & Requirements
About You You bring:
- Professional experience in machine learning, with a speciality in deep learning and its production implementation.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) and distributed computing frameworks for large-scale deep learning (Horovod, Spark, Ray, etc.).
- Proficiency in scaling training workloads, with hands-on experience in multi-GPU or multi-node clusters (TF Records, data and model parallelism).
- Strong grasp of ML Ops practices (CI/CD for ML pipelines, containerisation, prompt debugging, model versioning, and observability—e.g., MLflow, Kubeflow).
- Experience mentoring 1–2 junior engineers while contributing to wider technical initiatives.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Our Benefits
At ASOS, we reward and inspire our team:
- Employee discounts (yes, 50% off ASOS purchases!)
- Access to sample sales
- 25 paid annual leaves + an extra celebration day
- Discretionary bonus scheme
- Private medical care
- Flexible benefits allowance (cash or allocated towards other perks)
- Personalised learning and career-accelerating experiences
Ready to transform fashion through AI? Apply today!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location