10 дней назад
Senior Machine Learning Engineer (Recommendations/Search)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Recommendations/Search) (machine learning, recommendations, and generative AI): Building and operating production ML systems for personalised outfit recommendations, style discovery, and AI-powered fashion experiences with an accent on deep learning, retrieval, ranking, and scalable model serving. Focus on deploying batch and real-time models, improving reliability and observability, and designing ML capabilities used by millions of customers.
Location: London, United Kingdom
Company
is an online fashion retailer building digital shopping experiences for customers worldwide.
What you will do
- Design, build, deploy, and operate production machine learning systems for outfit discovery and personalised fashion experiences.
- Partner with Machine Learning Scientists to deploy deep learning models and deliver customer and business outcomes.
- Deploy and optimise batch and real-time models serving millions of customers.
- Build recommendation, retrieval, personalisation, and AI-driven fashion discovery capabilities.
- Improve performance, reliability, observability, and scalability across the ML lifecycle.
- Contribute to architecture decisions, shared ML tools, engineering practices, and mentoring across the team.
Requirements
- Experience designing, building, and deploying machine learning systems in production.
- Strong machine learning engineering and modern software engineering skills.
- Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar.
- Experience training and optimising models with large datasets and distributed compute infrastructure.
- Experience with recommendation systems, ranking, retrieval, personalisation, MLOps, or related domains.
- Experience building reliable, observable, and scalable cloud services, with technical leadership and mentoring skills.
Nice to have
- Curiosity about emerging AI technologies and practical applications of LLMs and generative AI in customer-facing products.
Culture & Benefits
- Employee discount and access to employee sample sales.
- 25 days of annual leave plus an additional celebration day.
- Discretionary bonus scheme and flexible benefits allowance.
- Private medical care and matched pension contributions of up to 5%.
- Personalised learning and career development opportunities.
- Summer hours, with 3pm finishes on Fridays in June, July, and August.
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