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 $3 M 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 (Py Torch, Tensor Flow, Keras)

Experience designing robust image pre-processing and post-processing pipelines, including ROI/landmark detection (mediapipe) and overlay masking for real-world deployment

Proven MLOps experience: 3+ years working with Google vertex AI or AWS Sagemaker, model versioning, experiment tracking, CI/CD integration, containerization (Docker), model compression, and optimizing model size/latency

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, computer vision, or related field

Strong understanding of conversational AI, RAG pipelines, or LLM-based frameworks

Exposure to Django or similar Python web frameworks

What We Offer

Competitive salary (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