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5 дней назад

Senior ML Engineer (Fintech)

Формат работы
onsite
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 ML Engineer (Fintech): Building and operating scalable ML platforms, model-serving services, and data infrastructure for batch and real-time decision-making with an accent on MLOps automation, reliability, and observability. Focus on deploying containerized workloads, improving model lifecycle management, and solving production scalability and incident-response challenges.

Location: London, United Kingdom

Company

hirify.global builds a financial platform with simple tools, thoughtful design, and human support for local businesses across Europe.

What you will do

  • Develop and maintain the platform, services, and tooling used to deploy, serve, and operate machine learning models in production.
  • Deploy and operate machine learning workloads across the ML infrastructure.
  • Automate model packaging, deployment, versioning, monitoring, and release processes.
  • Improve the reliability and observability of the ML platform and model-serving services through logging, metrics, and alerting.
  • Participate in on-call rotations, investigate production incidents, and implement measures to prevent recurrence.
  • Collaborate with data scientists, software engineers, and platform teams to deliver reliable production ML solutions.

Requirements

  • 5+ years of experience in ML Engineering, MLOps, or similar roles.
  • Strong Python skills and experience with a managed ML platform such as Amazon SageMaker or an equivalent service.
  • Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, automated testing, and Git-based workflows.
  • Experience developing or operating model-serving platforms, inference services, or backend APIs.
  • Knowledge of feature stores, model registries, experiment tracking, ML metadata management, and real-time systems.
  • Strong software engineering, data warehouse architecture, observability, scalability, reliability, and stakeholder collaboration skills.

Culture & Benefits

  • Inclusive equal opportunity workplace committed to diversity and accessibility.
  • Reasonable adjustments are available throughout the recruitment process.
  • Engineering culture focused on quality, fast execution, detailed work, and meaningful products for local businesses.

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