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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer - **Company:** IC Resources - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Noise Reduction, Python (Programming Language), Machine Learning, Tensorflow, Signal Processing, Software Engineering, WebRTC, Pytorch, Deep Learning, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815088152-lead-machine-learning-engineer ## About the Role * MSc or PhD in Computer Science, Machine Learning, or Signal Processing. * Proven experience in leading or mentoring ML/AI engineering teams. * Deep understanding of digital signal processing and speech/audio modelling. * Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks. * Track record of delivering production-grade ML systems with measurable performance improvements. * Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. ## Description Recruitment Consultant Specialising in AI/ML & Computer Vision Lead Machine Learning Engineer Location: London (Hybrid) Salary: Highly Competitive + Benefits We're partnered with an innovative AI company building world-class technology that powers real-time voice and audio intelligence. Their products use deep learning and signal processing to isolate speech, eliminate background noise, and enhance communication clarity across enterprise, consumer, and high-performance sectors. They're now looking for a Lead Machine Learning Engineer to take a hands-on leadership role within their R&D team. This position combines technical ownership and strategic direction, guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities * Lead the design, training, and optimisation of ML models for speech separation and noise reduction. * Provide technical leadership and mentorship to a small, high-performing engineering team. * Bridge research and production - ensuring scalable, low-latency model deployment. * Collaborate cross-functionally with software and product teams to integrate ML systems into live products. * Contribute to the company's long-term AI strategy and technical roadmap. Requirements * MSc or PhD in Computer Science, Machine Learning, or Signal Processing. * Proven experience in leading or mentoring ML/AI engineering teams. * Deep understanding of digital signal processing and speech/audio modelling. * Proficiency with Python, PyTorch/TensorFlow, and modern ML frameworks. * Track record of delivering production-grade ML systems with measurable performance improvements. * Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence. If you fit the requirements and are interested in this opportunity, then apply now! Otherwise, if you're interested in any other AI/ML and Computer Vision roles, then reach out to Oscar Harper at IC Resources. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Research Industries Software Development and Research Services ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Transforming Education: A Journey from interactive Markdown to Remote-Labs](https://www.wearedevelopers.com/videos/941-transforming-education-a-journey-from-interactive-markdown-to-remote-labs) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Raise your voice!](https://www.wearedevelopers.com/videos/10-raise-your-voice) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)