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4 часа Π½Π°Π·Π°Π΄

Senior Applied Scientist (Machine Learning)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Senior Applied Scientist (Machine Learning): Building scalable machine learning solutions that power business decisions, products, and customer experiences across an online fashion retailer with an accent on production deployment, model evaluation, and measurable business impact. Focus on researching emerging approaches, designing robust evaluation frameworks, writing production-quality code, and providing technical leadership across complex initiatives.

Location: hirify.global HQ in London is mentioned; the work format and candidate location requirements are not specified.

Company

hirify.global is an online fashion retailer building digital products and customer experiences for fashion customers worldwide.

What you will do

  • Lead the design, development, and evaluation of machine learning solutions for complex business challenges.
  • Identify opportunities where machine learning can create measurable business and customer value.
  • Improve model performance, scalability, reliability, and operational impact across multiple use cases.
  • Research and prototype emerging approaches from industry and academia, translating research into practical solutions.
  • Design evaluation frameworks covering model quality, customer outcomes, and business impact.
  • Partner with ML Engineers, Data Engineers, Analysts, Product Managers, and business stakeholders while mentoring other scientists.

Requirements

  • Experience developing and deploying machine learning solutions in production environments.
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or similar technologies.
  • Experience with large datasets and distributed data processing environments.
  • Knowledge of testing, version control, and maintainable, reproducible software engineering practices.
  • Experience across the end-to-end machine learning lifecycle, from problem definition and experimentation through deployment and monitoring.
  • Ability to communicate complex technical concepts and provide technical leadership and mentoring.

Culture & Benefits

  • Employee discount, employee sample sales, and a discretionary bonus scheme.
  • 25 days of annual leave plus an additional celebration day.
  • Private medical care and flexible benefits allowance.
  • Matched pension contributions of up to 5%.
  • Personalised learning and career development opportunities.
  • Summer hours with 3pm finishes on Fridays during June, July, and August.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’