Назад
2 дня назад

Applied AI Engineer, Health

93 500 - 161 800GBP
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

Текст:
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TL;DR
Applied AI Engineer, Health (LLM evaluation and healthcare AI): Building evaluation systems, datasets, and tooling for LLM-based healthcare products with an accent on model accuracy, safety, utility, and agent performance. Focus on designing benchmarks, running prompting experiments, analyzing regressions, and communicating evaluation results to cross-functional stakeholders.

Location: London, United Kingdom

Salary: £93,500–£161,800 per year

Company

Microsoft AI develops AI models and services, including Copilot products for health and wellbeing use cases.

What you will do

  • Design and build evaluation systems for LLM capabilities in healthcare.
  • Build evaluation pipelines, curate and synthesize datasets, and develop automated analyses.
  • Run experiments on prompting techniques using internal and industry benchmarks.
  • Improve internal tooling for implementing, running, and analyzing evaluations.
  • Build benchmarking and regression-testing capabilities covering model accuracy, safety, and utility.
  • Collaborate with product teams to translate research into benchmarks and product roadmaps.

Requirements

  • Bachelor’s or higher degree in Computer Science or a related technical discipline.
  • Significant Python programming experience or machine learning research experience.
  • Experience building with and around LLMs, including prompt, context, and harness engineering.
  • Deep expertise in evaluating and understanding agent performance.
  • Experience working cross-functionally and delivering high-quality results in ambiguous environments.
  • Experience taking products or capabilities from 0 to 1 with a bias toward shipping and learning.

Nice to have

  • Experience in healthcare technology or the health domain.
  • Experience sourcing, curating, and processing text datasets at scale.
  • Strong written and verbal communication skills.
  • Interest in emerging AI technologies, patterns, and best practices.

Culture & Benefits

  • Cross-functional collaboration with product managers, designers, researchers, and engineers.
  • Inclusive work environment focused on knowledge sharing and professional growth.
  • Benefits and additional compensation may be available depending on the role.

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