ConnexAI recognized by Viva Tech: Top 10 Future Unicorns

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ConnexAI recognized by Viva Tech: Top 10 Future Unicorns

AI

Machine Learning Engineer – Speech-to-Speech

Machine Learning Engineer – Speech-to-Speech

Machine Learning Engineer – Speech-to-Speech

Location:

Manchester, UK (Onsite)

Salary: Competitive

ConnexAI is developing a transformative product that enables speech-to-speech capabilities in large language models. This is a greenfield project with significant scope to influence both its technical architecture and product impact from the ground up. We’re looking for a hands-on Machine Learning Engineer with deep expertise in building, optimising, and deploying ML systems — particularly in the areas of speech, LLMs, or multimodal learning. You will take cutting-edge research and turn it into production-ready models, enabling real-time, scalable, and reliable multimodal AI experiences.

What You'll Be Doing

  • Building and productising machine learning models for speech-to-text, text-to-speech, and speech-to-speech tasks

  • Translating academic and internal research into scalable, maintainable code and services

  • Developing and maintaining training pipelines, inference services, and deployment workflows

  • Implementing robust data pipelines for sourcing, preprocessing, and versioning multimodal datasets

  • Collaborating with research scientists to refine model architectures and integrate the latest techniques into production

  • Evaluating model performance with custom metrics and developing automated test frameworks for ML systems

  • Contributing to MLOps tooling and infrastructure to support model lifecycle management and monitoring in production

  • Working closely with product, research, and backend engineering to deliver seamless end-to-end features

What We're Looking For

  • Strong engineering background with experience shipping ML systems to production

  • Deep familiarity with speech technologies (ASR, TTS), LLMs, or multimodal machine learning

  • Proficient in Python, with expertise in ML frameworks such as PyTorch

  • Experience building scalable ML pipelines (training, validation, deployment, monitoring)

  • Knowledge of Docker, Kubernetes, and ML deployment platforms

  • Comfort reading and adapting recent research papers into performant implementations

  • Strong debugging and optimisation skills, particularly around model inference speed

  • Experience working in cross-functional teams and contributing to engineering culture and best practices

  • Bonus: experience with streaming audio processing, real-time systems, or speech synthesis engines

Why Join Us?

  • Be part of a foundational team building novel, multimodal AI capabilities

  • Shape the architecture and product direction from an early stage

  • Work in a fast-moving, collaborative environment with a strong focus on execution and innovation

  • Opportunity to grow alongside a rapidly scaling AI startup


 

 

About ConnexAI

ConnexAI is an award-winning Conversational AI platform. Designed by a world-class engineering team, ConnexAI's technology enables organizations to maximize profitability, increase revenue and take productivity to new levels. ConnexAI provides cutting-edge, enterprise-grade AI applications including AI Agent, AI Guru, AI Analytics, ASR, AI Voice, and AI Quality.

ConnexAI's global footprint spans multiple continents, with offices in the United States, the United Kingdom, South Africa, Kenya, Nigeria, Spain, and Australia. This strategic presence allows us to serve customers in diverse markets and provide tailored solutions that meet their unique needs.

Recognized as one of the next unicorn businesses in the Titans of Tech report 2024, ConnexAI is committed to excellence and innovation in the field of artificial intelligence.

By partnering with ConnexAI, businesses can optimize their operations, improve customer experiences, and achieve long-term success in today's competitive market.