Principal Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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
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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β