About RenudePlease double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.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.Weve 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.Were 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. Youll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision modelsthat power real customer interactions. What We OfferTrain, evaluate and deploy agentic AI systems and computer vision models for real-world useCollaborate with product and engineering to integrate ML systems into user-facing featuresDevelop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelinesStay up-to-date with the latest advancements in AI, conductresearch, and explore innovative techniquesInfluence 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 systems2+ years experience developing conversational AI, RAG, agentic systems or LLM-based productsFamiliarity withRAG orchestration frameworks such as LangChain or LlamaIndex. xjdpvnf 2+Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioningStrong Python skills and experience with PyTorch, TensorFlow or KerasExposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AIBachelor's degree in a technical field such as computer science or years of equivalent experienceComfortable 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 field2+ years experience training and optimising computer vision modelsProficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systemsExperience with Django or similar Python web frameworksFamiliarity with Docker and containerised developmentExposure to CI/CD pipelines and infrastructure-as-code What We OfferCompetitive compensation (based on experience and location)Remote-friendly culture with flexible working hoursOpportunity to work with cutting edge technologiesHigh ownership and real technical influenceA supportive team that values product excellence and personal growthRemote working/work at home options are available for this role.
Job Title
Machine Learning Engineer (Mid-Senior, Remote)