Machine Learning Engineer (Mid-Senior, Remote)

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused 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 looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and 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 AI, 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 writing production ready code for machine learning systems • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+ • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning • Strong Python skills and experience with PyTorch, TensorFlow or Keras • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI • Bachelor's degree in a technical field such as computer science or years of equivalent experience • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field • 2+ years experience training and optimising computer vision models • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems • Experience with Django or similar Python web frameworks • Familiarity with Docker and containerised development • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location) • Remote-friendly culture with flexible working hours • Opportunity to work with cutting edge technologies • High ownership and real technical influence • A supportive team that values product excellence and personal growth