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7 дней назад

Senior AI/Data Science Platform Engineer (AI)

76 800 - 115 200GBP
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 AI/Data Science Platform Engineer (AI): Building and maintaining cloud and on-premise infrastructure for ML Engineers, Data Scientists, and product development teams with an accent on Kubernetes, AWS, GitOps, Terraform, Docker, and MLOps reliability. Focus on operating production platforms, diagnosing incidents, improving developer experience and delivery speed, and designing secure, scalable infrastructure for surgical AI and computer vision products.

Location: London, United Kingdom; hybrid work with commuting to London 2 days per week

Salary: £76,800–£115,200 per year, plus eligibility for the hirify.global Incentive Plan

Company

hirify.global develops healthcare technologies designed to alleviate pain, restore health, and extend life, serving patients across more than 150 countries.

What you will do

  • Design, develop, and maintain AWS cloud and on-premise infrastructure for Machine Learning Engineers, Data Scientists, and product development teams.
  • Operate and improve the MLOps platform, responding to service requests, troubleshooting issues, and increasing reliability and usability.
  • Build and operate Kubernetes platforms, including workloads, services, storage resources, and Helm deployments.
  • Develop maintainable infrastructure changes using Terraform or OpenTofu and GitOps-oriented delivery practices.
  • Operate production systems, diagnose incidents, manage changes safely, and prevent recurring issues.
  • Collaborate across engineering teams and communicate technical risks, trade-offs, and design decisions clearly.

Requirements

  • Strong practical experience with Kubernetes, including Pods, ReplicaSets, StatefulSets, DaemonSets, Services, PVs/PVCs, and Helm.
  • Experience with declarative, version-controlled delivery, pull requests, peer review, and approval gates.
  • Cloud infrastructure experience, with AWS strongly preferred, plus knowledge of IAM, networking, compute, storage, and observability.
  • Hands-on Docker experience building, debugging, and maintaining secure, efficient images.
  • Experience operating production systems and delivering improvements to developer experience, reliability, security, delivery speed, or operational efficiency.
  • Ability to commute to London 2 days per week.

Nice to have

  • Experience with Kanban or Scrum.
  • Knowledge of or collaboration with Machine Learning teams.

Culture & Benefits

  • Work on connected surgical systems involving edge computing, real-time guidance, decision support, data science, and computer vision.
  • Collaborate with teams across the Surgical Operating Unit and the Surgical AI Centre of Excellence.
  • Flexible benefits package and competitive compensation.
  • Short-term incentive eligibility through the hirify.global Incentive Plan.
  • Employee resources and benefits designed to support different career and life stages.

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