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Machine Learning Engineer
ConnexAI
- +1
- +4
- Manchester, England, United Kingdom
- +1
- +4
- Manchester, England, United Kingdom
Über
Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Direct message the job poster from ConnexAI 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 level Associate Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development, Research Services, and Telecommunications Referrals increase your chances of interviewing at ConnexAI by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
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Wünschenswerte Fähigkeiten
- Docker
- Kubernetes
- PyTorch
- Python
Berufserfahrung
- Machine Learning
Sprachkenntnisse
- English
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