Machine Learning Engineer
4 weeks ago
We are seeking a skilled Machine Learning Engineer to join our cross-functional Pricing team at ASOS. The ideal candidate will have experience in deep learning and a strong understanding of software development lifecycles and engineering practices.
The successful candidate will work alongside data engineers and scientists to solve and productionise interesting problems and leverage cutting-edge tech. At ASOS, we have unique datasets like transactions, click streams for millions of customers and hundreds of thousands of products.
Key responsibilities will include:
- Participating in an agile, cross-functional team building and improving our causal forecasts for the pricing and customer targeting space.
- Working alongside scientists in driving the implementation and productionize solutions at scale for our hundreds of millions of customers/products, creating measurable impact across the business.
- Deploying batch and online machine learning models at high scale.
- Continually developing and improving our code and technology, taking an active role in the conception of brand-new features.
- Contributing to the team's technical direction, contributing to ML standards, and driving quality across ASOS's ML community, while sharing expertise gained from the Pricing team.
Requirements:
- Professional experience in machine learning with experience in deep learning methods and their practical applications in production environments.
- Working knowledge of ML frameworks (e.g., PyTorch, TensorFlow) and experience with model deployment.
- Experience with GPU-based model training, with interest in learning advanced distributed computing techniques and parallelization strategies.
- Strong understanding of software development lifecycles and engineering practices (Data pipelines, CI/CD, containerisation, observability) - specifically ML Ops principles, techniques and tooling.
- Self-starter with a strong desire to learn and grow professionally.
- 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 ASOS? 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.
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