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Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Зарплата и рынок
£130к-180к/год
£99к£170кмедиана£180к
По похожим ролям (38) ~ £170к/год
На СНГ рынке: $4.4к/мес ($3.6к - $5.6к)
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Крутая вакансия
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Чётко описанная роль в растущем healthtech-продукте: заметная работа с ИИ сочетается с возможностями для профессионального роста.
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Передовой ИИПерспективный доменМасштаб и ростПонятные задачиПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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