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5 дней назад

Senior Machine Learning Engineer (AI)

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 Machine Learning Engineer (AI): Leading the development and deployment of scalable, production-grade machine learning systems for government and other high-impact clients with an accent on ML infrastructure, software engineering, and responsible AI delivery. Focus on defining technical architectures, operationalising TensorFlow and PyTorch models, building cloud-native systems with Docker and Kubernetes, and advising clients on complex AI strategies.

Location: London, UK — hybrid; occasional on-site work with government clients may be required.

Company

hirify.global develops and deploys responsible AI solutions for government, finance, retail, energy, life sciences, and defence clients.

What you will do

  • Lead technical scoping and architectural decisions for high-impact machine learning systems.
  • Design and build production-grade ML software, tools, and scalable infrastructure.
  • Define and implement engineering standards for deploying machine learning at scale.
  • Collaborate with engineers, data scientists, product managers, and commercial teams to solve client challenges.
  • Act as a technical advisor to customers and partners, translating complex concepts into actionable strategies.
  • Mentor junior engineers and help shape the engineering culture and technical depth of the team.

Requirements

  • Significant experience across the full machine learning lifecycle and operationalising models built with TensorFlow or PyTorch.
  • Deep software engineering expertise and strong Python skills.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including architecture, security, and infrastructure.
  • Extensive experience with Docker and Kubernetes for building and managing applications at scale.
  • Strong ownership, autonomy, and communication skills when working with technical teams and senior non-technical stakeholders.
  • Eligibility for UK Security Clearance (SC) may be required.

Culture & Benefits

  • Work on responsible AI projects intended to create measurable public benefit.
  • Collaborate across technical, product, delivery, and commercial disciplines.
  • Inclusive environment that values diversity of thought and welcomes applicants from all backgrounds.
  • Part-time hours may be discussed.
  • AI tools may be used for research and interview preparation, but not to generate answers during live interviews.

Hiring process

  • Talent Team screen — 30 minutes.
  • Pair programming interview — 90 minutes.
  • System design interview — 90 minutes.
  • Commercial interview — 60 minutes.

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