Lead AI & Personalisation Engineer

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

VACANCY ANNOUNCEMENT: LEAD AI & PERSONALISATION ENGINEER

Ecofamilies Ltd| www.ecofamilies.com |UK-Based Digital Platform

Position Title: Lead AI & Personalisation Engineer

Location: London, UK (Hybrid / Minimum 1 day per week in office)

Salary Range: Competitive (£75,000 - £90,000 depending on experience) + Equity Options

Contract Type: Full-time, Permanent

Reporting To: Chief Technology Officer (CTO)

Application Deadline: Open / Rolling Recruitment

About Ecofamilies

Ecofamilies ( www.ecofamilies.co.uk ) a UK based innovative digital platform designed to redefine the relationship between consumers and merchants, with a strong focus on emerging economies across Asia and the Gulf region, followed by expansion into African, European and all other regions in the world.

The first and largest family marketplace, Ecofamilies is introducing as an advanced and super cashback platform, we enable users to earn instant cashback and performance-based rewards on everyday transactions, while empowering businesses with integrated marketing, customer engagement, and growth solutions.

By combining financial incentives with smart digital advertising solutions, EcoFamilies creates a dynamic ecosystem where both users and merchants’ benefit, collaborate, and grow together.

Our platform is thoughtfully designed for young professionals, middle-income earners, and growing households. We reward families for purchases they already make, transforming everyday spending into structured savings that support meaningful life goals such as education, housing, travel, and emergency funds. With Eco Families, every transaction becomes a step toward a secure and financially stable future.

We specifically serve individuals and families who often find their income stretched before the end of the month, those seeking smarter ways to manage expenses without compromising their quality of life, we give relief the nation to overcome inflation gap which eats their income unknowingly.

Role Purpose

In this role, you will take full ownership of the architecture, engineering, and deployment of machine learning models and artificial intelligence architectures across Ecofamilies. You will translate user behaviors, parenting journeys, and marketplace preferences into tailored, dynamic feed landscapes, semantic search algorithms, and predictive recommendation layers, ensuring ethical execution and deep alignment with UK privacy regulations.

What You'll Do

Core Responsibilities

• AI Architecture & Personalisation Engine: Design, build, and maintain production-ready machine learning engines that drive product, directory, and content personalization arrays for our UK community base.
• Natural Language Processing & Search: Implement large language model (LLM) fine-tuning processes and Retrieval-Augmented Generation (RAG) loops to enrich community forum semantic searches, automated content categorizations, and safe-space conversation monitoring assets.
• Recommendation Graph Logic: Develop advanced recommendation graphs linking community profile matrices (e.g., child age groups, geographic locations, green values) with highly relevant sustainable vendor profiles and local circular economies.
• Infrastructure & Data Pipelines: Build and optimize scalable vector database infrastructures (e.g., Pinecone, Milvus, or pgvector) and real-time streaming architectures alongside backend tech stacks.
• Technical Leadership & Governance: Pioneer technical guardrails around AI model evaluation, data bias minimization, model quantization, and server-side compute cost governance frameworks.
• UK GDPR & Privacy Ethics: Ensure all model architectures natively conform to privacy-by-design requirements under the UK Data Protection Act 2018 / UK GDPR rules, implementing zero-knowledge or anonymized profile vector logic.

Requirements

Candidate Profile & Requirements

• Experience: Minimum 2+ years of professional experience as an ML Engineer, AI Specialist, or Data Scientist within a consumer-facing digital platform, high-scale marketplace, or SaaS environment.
• Modern AI Stack: Proven expertise working with Python, deep learning frameworks (PyTorch or TensorFlow), and advanced language processing orchestration environments (Hugging Face, LangChain, LlamaIndex, OpenAI/Anthropic APIs).
• Vector Storage & SQL: Solid competency configuring and query-optimizing vector databases alongside standard relational backends (PostgreSQL, Redis).
• Cloud Production: Confident scaling pipelines inside cloud infrastructures (AWS or GCP) utilizing container ecosystems (Docker, Kubernetes) and automated CI/CD pathways.
• Compliance Baseline: Clear conceptual understanding of data security, web content standards, and responsible model governance principles.
• Right to Work: Must possess valid, legal authorization to work within the United Kingdom without sponsorship dependencies.

Benefits & Compensation Package

• Workplace Pension: Competitive stakeholder auto-enrollment workplace pension plan in absolute compliance with UK legal guidelines.
• Leave Allowance: 28 days of standard statutory annual leave, inclusive of standard UK Bank Holidays, plus custom birthday leave days.
• Remote-First Flexibility: Flexible hybrid setup with modern coworking passes provided and a dedicated remote hardware setup allowance (£5,000 baseline value).
• Eco-Perks: Paid environmental volunteering allowances (up to 3 Weeks per year) and active employee sustainable product purchase match benefits.

Ecofamilies is a dedicated equal opportunities employer. All applicants will be considered without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability status in strict accordance with the UK Equality Act 2010.