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Senior ML Research Engineer - Speech/Audio/Gen-AI

Redline Group Ltd

Guildford

On-site

GBP 70,000 - 90,000

Full time

Today
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Job summary

A leading AI research firm in Guildford is seeking a Senior ML Research Engineer to develop advanced AI models for speech and audio applications. Candidates should have expertise in machine learning, proficiency in Python, and hands-on experience with deep learning frameworks. This role involves collaboration with various teams and optimizing ML workflows.

Qualifications

  • Professional experience with Python; C++, Java, or Kotlin is a plus.
  • Strong expertise in machine learning and deep learning, including training, evaluation, and model deployment.
  • Hands‑on experience in audio/speech processing, including speech recognition and NLP.

Responsibilities

  • Define AI model requirements and project specifications.
  • Design, implement, and maintain machine learning models and algorithms.
  • Develop and execute evaluation pipelines to test models.

Skills

Machine learning
Deep learning
Audio/speech processing
Python
CI/CD
Teamwork

Education

MSc/PhD in AI, Computer Science, Electrical Engineering, or related discipline

Tools

TensorFlow
PyTorch
Git
Job description
Overview

A Senior ML Research Engineer is sought to join an innovative AI research team in Surrey, contributing to the development of advanced AI models and algorithms for speech, audio, and generative AI applications.

The Senior ML Research Engineer in Surrey will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying best practices in research, software development, and deployment to mobile platforms. This may include implementing and optimizing deep learning models, designing evaluation pipelines, and working on generative AI technologies.

Responsibilities
  • Work with researchers and engineers to define AI model requirements and project specifications.
  • Design, implement, and maintain machine learning models and algorithms, primarily for speech and audio applications.
  • Develop and execute evaluation pipelines to test models on prototype and production systems.
  • Debug and optimize ML workflows and code using Python, PyTorch/TensorFlow, and related tools.
  • Collaborate with software and hardware teams to integrate AI solutions seamlessly into devices.
  • Maintain comprehensive technical documentation for models, algorithms, and workflows.
  • Support internal teams with technical queries and contribute to infrastructure/tools development for research projects.
Qualifications & Key Skills
  • MSc/PhD in Artificial Intelligence, Computer Science, Electrical Engineering, Mathematics, or related discipline.
  • Professional experience with Python; C++, Java, or Kotlin is a plus.
  • Strong expertise in machine learning and deep learning, including training, evaluation, and model deployment.
  • Hands‑on experience in audio/speech processing, including speech recognition, speech enhancement, audio analysis, TTS, and NLP.
  • Proficiency with ML frameworks such as TensorFlow or PyTorch.
  • Solid software engineering skills, including Git, CI/CD, and agile development practices.
  • Excellent problem‑solving, analytical, communication, and teamwork skills.
  • Ability to translate research ideas into practical, production‑ready AI solutions.
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