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Principal Machine Learning Engineer (AI)

Формат работы
hybrid
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

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TL;DR

Principal Machine Learning Engineer (AI): Building and deploying advanced speech recognition models at scale with an accent on model optimization, production deployment, and technical leadership. Focus on co-defining the ML vision, driving innovation in transformer architectures, and mentoring engineering teams to ensure high-performance speech AI solutions.

Location: London, UK (Hybrid: 2-3 days in office required)

Company

hirify.global is a global leader in Speech Intelligence, utilizing AI and machine learning to unlock business value from human speech.

What you will do

  • Develop and deploy machine learning models, ensuring research is translated into scalable, production-ready code.
  • Optimize models for latency, accuracy, and cost-efficiency in a high-load environment.
  • Evaluate and integrate cutting-edge AI approaches into the existing ML stack.
  • Define and enforce best practices for code quality, model lifecycle management, and MLOps.
  • Mentor engineering team members and foster a culture of technical excellence.
  • Co-define the long-term technical vision for AI and machine learning initiatives.

Requirements

  • Deep understanding of the modern machine learning stack, including contemporary transformer architectures.
  • Expertise in distributed training techniques and model inference optimization strategies.
  • Proven track record of developing and deploying ML models at scale.
  • Proficiency in Python and major frameworks such as PyTorch or TensorFlow.
  • Strong grasp of MLOps, CI/CD pipelines, and containerization technologies like Docker and Kubernetes.
  • Must be based in or able to commute to London for a hybrid working arrangement.

Nice to have

  • Practical experience with speech-to-text or text-to-speech technologies.
  • Contributions to open-source software or published research in top-tier AI/ML conferences.

Culture & Benefits

  • Flexible working environment with a focus on work-life balance and individual development.
  • Hybrid working structure with designated office days for team collaboration.
  • Benefits package including private medical and dental coverage for you and family.
  • Generous holiday allowance, pension matching, and home office equipment allowance.
  • Support for parental leave and focus on inclusivity, diversity, and collaborative team culture.

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