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3 дня назад

Senior Machine Learning & AI Engineer (AI)

72 702 - 80 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning & AI Engineer (AI): Building and optimizing AI and machine learning models to gain insights, make predictions, and aid decision-making for the Homes Platform AI Team with an accent on ethical considerations, accuracy, and production readiness. Focus on developing and implementing machine learning models and algorithms, performing statistical analysis, and continuously improving models for better performance.

Location: Hybrid in Leeds, UK, requiring at least two days per week (40% of time) at one of the office sites.

Salary: £72,702 – £80,780

Company

hirify.global is a financial services company focused on rebooting banking and building the future of finance.

What you will do

  • Collaborate with cross-functional teams to understand business requirements and deliver solutions.
  • Collect, process, and analyse data from various sources ensuring ethical use.
  • Perform statistical analysis to identify trends and patterns.
  • Develop and implement machine learning models and algorithms.
  • Continuously improve models and processes for better performance.

Requirements

  • Hands-on development experience in modelling.
  • Advanced proficiency in Python, including libraries like NumPy, Pandas, scikit-learn, PyTorch/TensorFlow.
  • Strong understanding of feature engineering, model selection, evaluation metrics, optimisation techniques, and Gen AI.
  • Ability to apply complex statistical methods and design experiments.
  • Familiarity with GCP cloud environment for deploying ML solutions.
  • Ability to understand complex business requirements and create business-ready solutions.
  • Strong interpersonal, communication, and influencing skills, particularly conveying technical information to non-technical people.

Nice to have

  • Exposure to Generative AI and emerging AI technologies.
  • Experience with MLOps tools (MLflow, Docker, CI/CD pipelines).
  • Insights into industry solutions for data management, storage, and analytics.
  • Experience of working within regulatory change (Credit Risk, capital, impairment processes).
  • Experience of line management.

Culture & Benefits

  • Inclusive environment focusing on diversity and belonging.
  • Generous pension contribution of up to 15%.
  • Annual performance-related bonus and share schemes including free shares.
  • Benefits adaptable to your lifestyle, such as discounted shopping.
  • 30 days’ holiday, plus bank holidays.
  • A range of wellbeing initiatives and generous parental leave policies.

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