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Machine Learning Engineer

Votre Sommelier

London

On-site

GBP 45,000 - 85,000

Full time

4 days ago
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Job summary

Join a forward-thinking company as a Machine Learning Engineer, where you'll leverage deep learning to enhance algorithms that power a vast digital ecosystem. Collaborate with data engineers and scientists to deploy innovative solutions that impact millions of customers. In this dynamic role, you'll contribute to the technical direction of machine learning initiatives, ensuring high-quality standards while continually developing your skills. This innovative firm values creativity and inclusivity, offering a supportive environment where you can thrive and make a real difference in the world of online retail.

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 and deep learning methods.
  • Working knowledge of ML frameworks and model deployment.

Responsibilities

  • Build and improve algorithms as part of an agile team.
  • Deploy batch and online machine learning models at scale.

Skills

Deep Learning
Machine Learning
Model Deployment
Software Development Lifecycles
Communication Skills

Tools

scikit-learn
lightGBM
PyTorch
TensorFlow

Job description

The role sits within the Machine Learning domain, which is responsible for the algorithms that power ASOS digital ecosystem. The current focuses of these teams are Forecasting, Recommendations and Search, Marketing and Customer and Pricing, however we are actively exploring new problem spaces.

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

You will work alongside data engineers and scientists to solve problems and productionise interesting solutions that leverage cutting edge tech. At ASOS, as an online only retailer, we have unique datasets like transactions and click streams for millions of customers and hundreds of thousands of products.

What Youll Be Doing

  • You will be part of an agile, cross-functional team building and improving our algorithms.
  • You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business.
  • You will be deploying batch and online machine learning models at high scale.
  • You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
  • You will contribute to the team's technical direction, contribute to ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from the team.

Were 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, youre free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? Were 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.

About You

  • You have professional experience in machine learning with experience in deep learning methods and their practical applications in production environments.
  • You have working knowledge of ML frameworks (e.g., scikit-learn, lightGBM, PyTorch, TensorFlow) and experience with model deployment.
  • You have experience training ML models, with interest in learning advanced distributed computing techniques and parallelization strategies.
  • You have strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) - specifically ML Ops principles, techniques and tooling.
  • You are a self-starter with a strong desire to learn and grow professionally.
  • You have excellent communication skills and enjoy collaborating with diverse teams.
BeneFITS

  • Employee discount (hello ASOS discount!)
  • ASOS Develops (personal development opportunities across the business)
  • Employee sample sales
  • Access to a huge range of LinkedIn learning materials
  • 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.

Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.

Want to find out how were tech powered? Check out the ASOS Tech Podcast here ASOS Tech Podcast. Prefer reading? Check out our ASOS Tech Blog here ASOS Tech Blog.

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