Mid-Senior Machine Learning Engineer (Computer Vision)

About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-foucsed customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re hiring a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production Computer Vision systems with ownership from experimentation through to deployment. You’ll work end to end on the training, optimisation, and deployment of CV models that power real customer interactions. What You’ll Do Train, evaluate and deploy computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with the latest advancements in ML, conduct research, and explore innovative techniques Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We’re Looking For Must-Haves: 4+ years experience developing production-grade computer vision systems Experience with training, fine-tuning and evaluating classification (CNN), semantic segmentation (U-net), object detection (YOLO) and vision transformers Strong expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Keras) Experience designing robust image pre-processing and post-processing pipelines, including ROI/landmark detection (mediapipe) and overlay masking for real-wor