Назад
8 дней назад

Applied AI Engineer (Lab Automation)

225 000 - 255 000GBP
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
Applied AI Engineer (Lab Automation) (AI/life sciences): Automate laboratory experiments end-to-end with Claude by connecting AI software to scientific hardware and lab systems, with an accent on production engineering, physical-world safety, and scalable deployment. Focus on building model evaluations, extending the Model Hardware Standard, creating reusable assets for laboratories, and translating field experience into product and research direction.

Location: London, UK. Hybrid policy requires staff to work from one of the offices at least 25% of the time, and the role requires significant travel across EMEA.

Annual salary: £225,000–£255,000 GBP

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Automate laboratory experiments end-to-end with Claude, from advising and prototyping through production code.
  • Connect Claude and the Model Hardware Standard to scientific hardware and software used in research laboratories.
  • Use field experience to guide product, engineering, and research direction, including model evaluations for physical-world capabilities and safety.
  • Develop new Model Hardware Standard features and scalable cookbooks, documentation, and other reusable assets.
  • Represent Claude across EMEA by building trust with scientific audiences and presenting at conferences.

Requirements

  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.
  • Hands-on experience connecting software to laboratory robots and instruments such as liquid handlers, plate readers, scheduling software, and LIMS.
  • Strong engineering ability to take an LLM-powered tool from prototype to production and write evaluations to measure performance.
  • Understanding of scientific experimentation, including where automation is valuable and where AI may fail or be unsafe in the physical world.
  • Experience working directly with external customers or partners in a technical role.
  • Clear written and verbal communication, including technical documentation and presentations for scientific audiences.

Culture & Benefits

  • Collaborative work on large-scale AI research efforts focused on steerable and trustworthy AI.
  • Flexible working hours and office-based collaboration.
  • Generous vacation and parental leave.
  • Competitive compensation and optional equity donation matching.
  • Visa sponsorship is available, with immigration lawyer support, although sponsorship cannot be guaranteed for every role or candidate.

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