18 сен

machine learning engineer for public services

ориентир по рынку
вакансия зп не указана
в среднем 347 158 ₽
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описание

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Faculty develops and deploys responsible AI for over 350 global customers, delivering human-centric solutions across government, finance, retail, energy, life sciences, and defence. Its Public Services Business Unit applies AI to improve government decision-making, NHS operations, and bureaucratic processes.

задачи

  • Design, implement, and maintain reliable, scalable ML systems for production environments;
  • Justify key architectural decisions;
  • Drive the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines;
  • Lead model integration with infrastructure by creating APIs and services for scalable AI functionality in applications;
  • Oversee multiple complex workstreams and define project problems in high-risk environments;
  • Define testing frameworks and model versioning systems for senior engineers to implement;
  • Manage and coach multiple individuals and set team-wide development goals;
  • Execute recommendations for adopting new technologies and AI frameworks.

требования

  • Expert ability to define technical roadmaps and manage project priorities for high-stakes outcomes;
  • Mastery of cloud-native ecosystems and orchestration tools such as Kubernetes;
  • Proven ability to design large-scale AI-powered platforms and justify critical architectural decisions;
  • Expert-level experience operationalising models with frameworks such as TensorFlow or PyTorch;
  • Experience defining engineering standards and architecture patterns for agentic systems;
  • Exceptional ability to align multidisciplinary technical teams with business objectives and customer needs;
  • Eligibility for UK Security Clearance (SC) may be required;
  • Willingness to work on site with government clients from time to time.

условия

  • Office role in London, England, United Kingdom;
  • Candidates may need to be eligible for UK Security Clearance (SC);
  • The company is open to conversations about part-time hours;
  • Interview process: Talent Team Screen, Hiring Manager Introduction, Pair Programming Interview, System Design Interview, Commercial & Leadership Interview.

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Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.