Job Title: Machine Learning Engineer Department: Text-to-Speech (TTS) Location: Manchester, UK About the Role: As a Machine Learning Engineer, you'll help deploy and optimise LLM-based Text-to-Speech models that enable advanced voice cloning and natural-sounding speech synthesis. You'll work alongside like-minded researchers and engineers to bring new features to life, focusing on building scalable, production-ready systems that deliver seamless, low-latency voice experiences. You'll be instrumental in shaping the voice of the ConnexAI product used by our worldwide customer base. Key Responsibilities: You will use tools like TensorRT, ONNX, TorchServe, and Triton to optimise and scale models for real-time, production-level deployment. You will implement and maintain CI/CD pipelines and deploy models on cloud infrastructure (AWS) You will monitor system performance, troubleshoot issues, and improve deployment strategies. Requirements: A degree in Computer Science, Data Science, or a related field. 1 year of deploying large-scale LLMs and/or TTS systems in production. Experience using Docker and Kubernetes (desirable) Experience with vLLM, TensorRT, ONNX, TorchServe, Triton, or similar tools. Python, cloud platforms, and performance optimisation experience Why Join Us? At ConnexAI, you will solve complex problems in a fast-growing, innovative industry. You’ll directly impact the performance and scalability of our LLM-based TTS models, helping position us as a market leader. You’ll be part of a collaborative, dynamic team that values your input and growth. With the support, resources, and tools you need, you’ll continuously evolve as a professional in the Machine Learning space, tackling new problems in the sector and advancing your career.