Machine Learning Engineer

ConnexAI

Manchester

2 weeks ago

Applications closed

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Machine Learning Engineer – Multimodal LLMs (Speech Focus)

About the Role

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 and resource usage
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

Seniority level

Seniority levelAssociate

Employment type

Employment typeFull-time

Job function

Job functionInformation Technology
IndustriesSoftware Development, Research Services, and Telecommunications

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