Machine Learning Engineer – Text-to-Speech

ConnexAI; Manchester; On-site; GBP 50,000 - 80,000; Full time

Job summary

ConnexAI is seeking a Senior Machine Learning Engineer to enhance their Text-to-Speech capabilities. In this pivotal role, you'll deploy and optimize cutting-edge TTS models, ensuring they are production-ready and efficient. Join a team at the forefront of AI innovation, where your expertise will help shape the future of conversational AI.

Qualifications

• 3-5 years of experience deploying machine learning solutions.
• Experience with LLMs and transformers.
• Proven skills in deploying complex machine learning pipelines.

Responsibilities

• Deploy and scale advanced Text-to-Speech models.
• Optimize TTS pipelines for performance.
• Integrate LLM-based inference servers.

Skills

Python

GPU scaling

Machine Learning

Text-to-Speech

Education

MSc or PhD in Computer Science

Tools

Triton

TensorRT

TorchServe

PyTorch

Job description

ConnexAI Manchester, England, United Kingdom

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As a Senior Machine Learning Engineer, you will be instrumental in deploying state-of-the-art Text-to-Speech models. You will be responsible for scaling and optimising TTS systems, ensuring they are production-ready and capable of running efficiently on large-scale deployments.

Join our Team!

We are at the forefront of revolutionising Text-to-Speech (TTS) and Speech Synthesis in Conversational AI, and we're looking for a skilled Senior Machine Learning Engineer to join our expanding team.

Key Responsibilities:

• Collaborate closely with the TTS team to deploy and scale advanced models in production environments.
• Lead efforts in optimising TTS pipelines for performance and scalability, particularly focusing on GPU utilisation.
• Implement and maintain LLM (Large Language Models) and transformers, ensuring efficient inference on a large scale.
• Integrate and manage LLM-based inference servers like Triton, TensorRT, or TorchServe to streamline model deployment and scaling.
• Work on deploying complex pipelines in production, ensuring seamless integration with existing systems.
  
  
  

Must-Have Qualifications:

• MSc or PhD in Computer Science or a related field.
• 3-5 years of hands-on experience deploying and scaling machine learning solutions in production.
• Strong Python programming skills.
• Proven experience in deploying and optimising LLMs/transformers in production environments.
• Knowledge of LLM inference servers (e.g., Triton, TensorRT, TorchServe).
• Experience with GPU scaling for large-scale machine learning models.
• Expertise in deploying complex machine learning pipelines in production environments.
  
  
  

Desirable Skills:

• Proficiency with PyTorch and Hugging Face transformers.
• Experience with neural audio codecs (e.g., Encodec).
• Background in Text-to-Speech (TTS) development.
• Experience with advanced techniques such as Residual Vector Quantization (RVQ), Generative Adversarial Networks (GANs), and diffusion models.
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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