8 дней назад
Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (AI) (Recommender Systems/MLOps): Building and operating production-grade machine learning systems for personalised recommendations, product ranking, and AI-powered styling at ASOS with an accent on real-time personalisation, scalable model deployment, and customer behaviour signals. Focus on developing ranking models, deploying batch and real-time services, monitoring production performance, and improving shared MLOps capabilities.
Location: HQ in London, with an office in Leavesden
Company
is an online fashion retailer using technology, data, and innovation to help customers discover and shop for products.
What you will do
- Design, build, and maintain production-grade machine learning systems for personalisation and product discovery.
- Develop and improve recommender systems, ranking models, and customer-facing machine learning capabilities.
- Deploy models in batch and real-time environments with a focus on reliability, scalability, and performance.
- Collaborate with Applied Scientists, Software Engineers, and Product partners to move models from experimentation into production.
- Monitor, evaluate, and iterate on models using customer behaviour and performance metrics.
- Contribute to MLOps tooling, engineering standards, and shared machine learning platform capabilities.
Requirements
- Experience developing, deploying, or operating machine learning solutions in production.
- Familiarity with machine learning frameworks and tools such as PyTorch, TensorFlow, or XGBoost.
- Experience training models with GPUs or an interest in distributed computing and scalable machine learning systems.
- Understanding of software engineering fundamentals, including version control, CI/CD, testing, observability, and containerisation.
- Appreciation of MLOps practices and the challenges of deploying machine learning systems at scale.
- Strong collaboration and communication skills across engineering, science, and product disciplines.
Culture & Benefits
- Employee discount and access to employee sample sales.
- 25 days of paid annual leave plus an additional celebration day.
- Private medical care, matched pension contributions of up to 5%, and a discretionary bonus scheme.
- Personalised learning and career development opportunities.
- Summer hours with 3pm finishes on Fridays during June, July, and August.
- Free shuttle bus between Watford station and the Leavesden office.
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