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ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 3 часа Π½Π°Π·Π°Π΄

Principal Machine Learning Engineer (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
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

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.

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†’