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6 дней назад

Machine Learning Engineer (AI)

130 000 - 180 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer (AI): Developing and deploying large-scale ML and LLM systems for a digital female-health product with an accent on medically safe generative AI, scalable infrastructure, and responsible AI practices. Focus on architecting ML/LLM pipelines, building data and serving infrastructure, validating product hypotheses, and improving MLOps/LLMOps capabilities.

Location: London; hybrid model with 3 days per week in the office.

Salary: £130,000–£180,000 GBP annual salary.

Company

hirify.global is a product company building a privacy-first, clinically backed digital health platform for female health, powered by AI and used by millions of people worldwide.

What you will do

  • Explore, develop, and test complex ML and AI systems that improve female health.
  • Build medically safe, scalable solutions using advanced LLMs and generative AI approaches.
  • Build and validate product hypotheses quickly while taking end-to-end ownership of ML and AI products.
  • Develop infrastructure for serving generative AI features and support Flo’s AI strategy.
  • Research and implement best practices for rapidly evolving LLM technologies.
  • Collaborate cross-functionally with ML, backend, QA, product, and analytics teams.

Requirements

  • 4+ years of professional experience in machine learning.
  • Demonstrated success building and deploying large-scale machine learning models.
  • Ability to devise creative solutions to complex technical challenges and architect and explain ML/LLM pipelines.
  • Strong Python programming skills for model development and deployment.
  • Experience with traditional ML and modern LLM frameworks.
  • Understanding of the full ML/LLM development lifecycle, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies.
  • Experience building and managing data pipelines using tools such as Apache Spark.
  • Excellent communication skills and ability to collaborate with diverse teams.
  • Commitment to responsible AI practices, including fairness, accountability, and transparency.

Nice to have

  • Experience with large-scale LLM applications.
  • Advanced degree in Computer Science, Mathematics, or a related field.
  • Familiarity with statistical and measurement fundamentals and running and evaluating A/B tests.
  • Data visualization skills.
  • Experience in the MedTech domain.

Culture & Benefits

  • Mission-led, product-driven environment with shared decision-making, open debate, ownership, and a focus on quality.
  • Competitive salary with annual reviews and participation in a performance incentive scheme.
  • Paid holiday, sick leave, female health leave, and enhanced parental leave and pay.
  • Professional growth through impactful work and learning support.
  • Five-week fully paid sabbatical after the 5-year Floversary.
  • Flo Premium for friends and family, plus health, pension, and wellbeing benefits.

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