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1 день назад

Senior Engineer (Machine Learning)

100 000 - 130 000GBP
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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TL;DR

Senior Engineer (Machine Learning): Designing, building, and optimizing systems for hirify.global’s pricing logic, machine learning models, and data-driven growth experiments with an accent on turning complex behavioral and market data into real-time, intelligent pricing systems. Focus on building and scaling dynamic pricing algorithms, deploying ML models for prediction, and supporting data and ML pipelines.

Location: London, 5 days a week in the office

Salary: £100K–£130K

Company

hirify.global is a fast-growing startup focused on the future of marketing by rewarding a community of over 60 million users for engaging with advertisers' products.

What you will do

  • Design, build, and optimize systems for pricing logic, machine learning models, and data-driven growth experiments.
  • Build and scale dynamic pricing algorithms that respond to real-time user behavior and market signals.
  • Assist in designing and deploying ML models that predict user value, engagement, and conversion probability.
  • Contribute to experimentation frameworks for testing and optimizing pricing strategies.
  • Support the creation of data and ML pipelines integrated with backend services.
  • Help improve model reliability, monitoring, and performance across production environments.

Requirements

  • Experience building or supporting ML-driven systems in production.
  • Strong knowledge of Python, data processing, and system design.
  • Exposure to experimentation, dynamic pricing, or predictive modelling.
  • Solid understanding of SQL and cloud environments (AWS or GCP).
  • Ability to collaborate across engineering, product, and data science teams.
  • Willingness to take ownership of your work and grow into larger responsibilities.
  • Must be fully present 5 days a week in the London office.

Nice to have

  • Hands-on experience with ML model training, deployment, and monitoring pipelines.
  • Exposure to pricing, auction, or optimization systems.
  • Background in adtech, gaming, or performance marketing environments.
  • Passion for data-driven decision making and automation.

Culture & Benefits

  • High ownership and accelerated career growth opportunities.
  • Generous bonus scheme to ensure great, proactive work is valued.
  • Work with ambitious, high-speed, high-ownership people.
  • Fostering talent and providing a clear path for growth.
  • An equal opportunity employer that embraces and celebrates diversity.

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