machine learning engineer for retail products

Enfint

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Competitive benefits package
Career growth opportunities
Diversity & inclusion

Job summary

Kingfisher plc в Лондоне ищет специалиста по машинному обучению для разработки и внедрения ML-моделей и анализа данных. Позиция предполагает гибридный формат работы, часть времени в офисе и удалённо, с акцентом на сотрудничество в междисциплинарной команде.

Требуются сильные знания Python, ML, NLP, опыт работы с Pandas, scikit-learn и Jupyter, а также понимание пайплайнов данных и развёртывания моделей. Конкурентные преимущества и развитие в компании обеспечены.

Qualifications

  • Хорошее понимание основ компьютерных наук: структуры данных, алгоритмы и проектирование ПО.
  • Практический опыт в классических подходах ML; осведомленность в NLP и глубоком обучении.
  • Сильные навыки Python, опыт работы с Pandas, scikit-learn и Jupyter.
  • Опыт работы с SQL и пайплайнами данных для подготовки обучающих данных.
  • Понимание оценки моделей, мониторинга и производственной эффективности.
  • Знакомство с инструментами развёртывания моделей: Git, CI и контейнеризация.
  • Умение работать с статистическими концепциями и интерпретацией данных.
  • Способность к сотрудничеству и ясной коммуникации.

Responsibilities

  • Разработка моделей машинного обучения и их развёртывание в продакшн;
  • Писать надёжный, эффективный и поддерживаемый код Production Quality;
  • Участие в создании и улучшении пайплайнов, инструментов и автоматизации;
  • Применение стандартов инженерии в разработке моделей;
  • Мониторинг производительности моделей и оптимизация;
  • Сотрудничество с коллегами для понимания требований и приоритетов;
  • Делиться знаниями и поддерживать культуру совместной работы.

Skills

CS fundamentals
ML techniques
NLP awareness
Python
Pandas
scikit-learn
SQL
Data pipelines
Model deployment
Git & CI
Containerisation
Statistics

Tools

Jupyter
Docker
Git
CI workflows

Job description

Описание: Kingfisher plc is one of the largest retail groups in Europe, operating brands including B&Q, Screwfix, Brico Depot, Castorama and Koctas. It helps customers improve their homes through retail products and services.

Задачи:
  • Develop machine learning models and support their deployment into production;
  • Write robust, efficient and maintainable production-quality code;
  • Contribute to implementing and improving pipelines, tooling and automation;
  • Apply good engineering standards and practices in model development;
  • Monitor model performance and contribute to ongoing optimisation;
  • Work with colleagues to understand requirements and priorities;
  • Share knowledge, contribute ideas and support a collaborative team culture.
Требования:
  • Good understanding of computer science fundamentals, including data structures, algorithms and software design;
  • Practical experience with classical machine learning techniques and awareness of natural language processing and deep learning;
  • Strong Python skills and experience with Pandas, scikit-learn and Jupyter;
  • Experience with SQL and data pipelines for preparing and transforming training data;
  • Understanding of model evaluation, monitoring and performance improvement in production;
  • Familiarity with model deployment tools and practices, including Git, CI workflows and containerisation;
  • Comfortable working with statistical concepts to interpret data and assess model performance;
  • Ability to collaborate, communicate clearly and deliver agreed outcomes.
Условия:
  • Hybrid model with home working and in-person collaboration;
  • engineering team members spend around 40% of their time collaborating in person;
  • Competitive benefits package;
  • Opportunities for career growth;
  • Inclusive workplace with diversity and inclusion commitments.
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