Machine Learning Engineer

Social network you want to login/join with:

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 you’ll 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.

Qualifications

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.

Additional Information

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 we’re tech powered? Check out the ASOS Tech Podcast here:https://open.spotify.com/show/6rT4V6N9C7pAXcX60kzzxo. Prefer reading? Check out our ASOS Tech Blog here:https://medium.com/asos-techblog.

#J-18808-Ljbffr