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12 часов назад

Machine Learning Engineer (AI)

70 000 - 75 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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

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TL;DR

Machine Learning Engineer (AI): Design, build, and operate LLM-powered and predictive ML systems including agentic AI systems like Travel Assistant and Voice AI. With an accent on GenAI, LLM frameworks, RAG architectures, and production monitoring. Focus on deploying robust ML systems end-to-end, optimizing model performance, and driving measurable business impact.

Location: Hybrid in London, UK with minimum 60% office presence over 12 weeks

Salary: £70,000–£75,000

Company

hirify.global is Europe’s number 1 downloaded rail app, enabling sustainable travel with over 125 million monthly visits and operations across 40+ countries.

What you will do

  • Design and build LLM-powered agentic systems using LangGraph, LangChain, and RAG pipelines
  • Monitor and evaluate ML model and agent performance with production monitoring tools
  • Maintain and improve traditional ML models alongside GenAI capabilities
  • Collaborate with stakeholders to define problems and success metrics
  • Own technical initiatives from ideation to production and iteration
  • Contribute to AI & ML community through knowledge sharing and experimentation

Requirements

  • Must be located in or near London, UK with hybrid work model
  • Strong experience in machine learning lifecycle, evaluation, and statistical thinking
  • Hands-on experience with GenAI, LLMs, NLP, RAG, and agent-based systems
  • Proficient in Python and ML libraries like PyTorch, scikit-learn, XGBoost, Pandas
  • Experience deploying and operating ML/AI systems in production
  • Knowledge of ML Ops, DevOps, Docker, CI/CD, and AWS cloud infrastructure

Culture & Benefits

  • Private healthcare and dental insurance
  • Generous work from abroad policy and 28-day Work from Abroad allowance
  • 2-for-1 share purchase plans and EV Scheme to reduce carbon emissions
  • Clear career paths, personal learning budgets, and regular learning days
  • Inclusive and diverse work environment with strong company values
  • Hybrid work model requiring minimum 60% office attendance over 12 weeks

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