Назад
Company hidden
5 дней назад

Engineering Manager - Trust Detection (ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Engineering Manager - Trust Detection (ML): Leading backend engineering for trust detection systems that identify harmful content and behaviour, with an accent on real-time inference, risk-scoring services, and reliable production platforms. Focus on developing engineers, shaping the roadmap with ML and product leaders, and building automated systems that balance user safety, fairness, compliance, and measurable model impact.

Location: UK-based, London, with partially remote hybrid working

Company

hirify.global is a peer-to-peer circular fashion marketplace for buying, selling, and discovering secondhand fashion, with more than 56 million registered users and over 500 employees.

What you will do

  • Manage, coach, and develop Backend Engineers through feedback, career growth, performance management, hiring, and onboarding.
  • Partner with the ML Manager and Product Manager to set direction, priorities, roadmap, and shared goals.
  • Own the technical direction and delivery of the trust detection platform, working with staff engineers and partner teams.
  • Move models from experiments into reliable production systems with real-time inference, monitoring, safe rollouts, testing, observability, cost control, and operational excellence.
  • Build shared risk-scoring services used across listings, search, chat, account security, and other teams.
  • Collaborate with Trust & Safety Operations, Policy, Legal, Data, Compliance, Security, and product partners to balance safety, fairness, compliance, and delivery speed.

Requirements

  • Experience managing and developing engineers, ideally including senior engineers.
  • Strong software engineering background with confidence engaging in architecture and technical trade-offs.
  • Experience leading teams that run production systems, with a focus on reliability and quality.
  • Experience working with, or a genuine appetite to learn how to lead, ML or data-heavy teams; model-building experience is not required.
  • Clear ownership of team health and delivery, with the ability to create momentum in ambiguous, fast-changing problem spaces.
  • Collaborative shared-leadership style, comfort with healthy disagreement, and ability to make decisions collectively.
  • Confidence constructively challenging engineers, ML, product partners, and stakeholders.
  • Motivation to protect people and build trusted online communities.

Nice to have

  • Production ML experience, including MLOps, model serving, real-time inference, feature pipelines, retraining, or drift monitoring.
  • Experience in trust and safety, fraud, abuse, spam, content moderation, or marketplace integrity.
  • Experience building shared services or APIs used by other teams.
  • Experience with experimentation, shadow testing, golden-set evaluation, or other methods of measuring real-world model impact.
  • Cross-functional delivery with Operations, Policy, Legal, Compliance, or Security partners.

Culture & Benefits

  • Partially remote hybrid working through hirify.global's MyMode model, with office-based, flex, and remote options depending on the role.
  • Healthcare access, counselling and coaching, employee assistance support, and mental health first aid.
  • 25 days of annual leave, up to 2 additional paid volunteering days, and a paid four-week sabbatical after five years of consecutive service.
  • Paid parental leave, IVF leave, shared parental leave, and emergency parent/carer leave.
  • Learning budget, development chats, performance reviews, and company-wide training.
  • Life insurance worth 3x salary, pension matching up to 6%, dog-friendly offices, and other hirify.global extras.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →