Lead AI & Personalisation Engineer (Hybrid, Equity)

Ecofamilies; United Kingdom; Hybrid; GBP 75,000 - 90,000; Full time

Benefits offered by this job

Workplace Pension

28 days leave + birthday leave

Remote-First flexibility and hardware

Eco-Perks: volunteering allowances

Job summary

Ecofamilies is seeking a Lead AI & Personalisation Engineer in London. You will own architecture, engineering, and deployment of ML models across the platform, translating user behaviours into tailored feed landscapes and predictive recommendations.

Work will focus on semantic search, RAG loops, and responsible governance, with UK privacy compliance at the core. Hybrid arrangement, equity options, and a competitive salary reward expertise.

Qualifications

• 2+ years of professional ML/AI or data science experience in consumer-facing platforms.
• Proven expertise in Python, deep learning (PyTorch/TensorFlow), and NLP toolchains.
• Experience with vector databases and SQL backends, plus cloud production experience.
• Familiarity with secure, privacy-by-design ML and UK GDPR considerations.

Responsibilities

• Design, build, and maintain production-grade ML engines for personalization and content ranking.
• Implement NLP/Large Language Model workflows and retrieval-augmented generation techniques.
• Develop and optimize recommendation graphs linking user profiles to vendor ecosystems.
• Build scalable data pipelines and vector database infrastructures; ensure governance and cost controls.

Skills

Python

PyTorch

TensorFlow

LangChain

Hugging Face

LlamaIndex

OpenAI/Anthropic APIs

Tools

Pinecone

Milvus

pgvector

PostgreSQL

Redis

Docker

Kubernetes

Job description

Ecofamilies is seeking a Lead AI & Personalisation Engineer in London. You will own architecture, engineering, and deployment of ML models across the platform, translating user behaviours into tailored feed landscapes and predictive recommendations.

Work will focus on semantic search, RAG loops, and responsible governance, with UK privacy compliance at the core. Hybrid arrangement, equity options, and a competitive salary reward expertise.