Machine Learning Engineer (Mid-Senior, Remote)

Renude; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading AI software company in the United Kingdom seeks an experienced Machine Learning Engineer to design and scale production ML systems. The ideal candidate will have over 4 years' experience in writing production-ready code, particularly in conversational AI and RAG systems. You will have the opportunity to work with cutting-edge technologies in a flexible, remote-friendly environment that values high ownership and personal growth.

Benefits

Competitive compensation

Flexible working hours

Opportunity to work with cutting edge technologies

High ownership and real technical influence

Supportive team environment

Qualifications

• 4+ years experience writing production ready code for machine learning systems.
• 2+ years experience developing conversational AI, RAG, or LLM-based products.
• Familiarity with RAG orchestration frameworks.

Responsibilities

• Train, evaluate and deploy agentic AI systems for real-world use.
• Collaborate with product to integrate ML systems into user-facing features.
• Maintain robust MLOps pipelines for production-quality machine learning.

Skills

Python

Production ready code for ML systems

MLOps practices

Conversational AI development

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