Machine Learning Engineer (Mid-Senior, Remote)

Renude; Remote; GBP 60,000 - 80,000; Full time

Job summary

A tech company in the beauty sector is seeking a mid-senior Machine Learning Engineer. The role involves designing, building, and scaling production ML systems, especially for LLM-powered conversational agents. Ideal candidates should have over 4 years of experience in machine learning, proficiency in Python with tools like PyTorch or TensorFlow, and familiarity with MLOps practices. The position offers competitive compensation and a remote-friendly culture with flexible working hours.

Benefits

Competitive compensation

Remote-friendly culture

Opportunity to work with cutting edge technologies

High ownership and technical influence

Supportive team environment

Qualifications

• 4+ years experience writing production ready code for machine learning systems.
• 2+ years experience in developing conversational AI or LLM-based products.
• Strong Python skills with experience in major ML frameworks.

Responsibilities

• Design, build, and scale production ML systems.
• Deploy agentic AI systems for real-world use.
• Integrate ML systems into user-facing features.

Skills

Production ready code for machine learning systems

Conversational AI

Python

MLOps practices

Production optimisation

Education

Bachelor's degree in a technical field

Tools

PyTorch

TensorFlow

Keras

Sagemaker

Vertex AI

Job description

👋 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.

W e’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 modelsthat 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, conductresearch, 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 withRAG 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 systemsExperience 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