Machine Learning Engineer – Speech-to-Speech Manchester, UK (Onsite)...

Location:

Manchester, UK (Onsite)

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.

#J-18808-Ljbffr