Senior Applied Machine Learning Engineer – Catalogue Intelligence

🕒 May 12

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OnBuy

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏪 Marketplace

🛍️ eCommerce

🛒 Retail

💰 Debt Financing on 2021-07

Marketplace • eCommerce • Retail

OnBuy is a UK-based online marketplace that offers a wide variety of products ranging from home and garden essentials, health and beauty products, electronics, and more. Unique in its approach, OnBuy does not sell its own products but provides a platform for small businesses and trusted brands to reach a broad audience. It is known for offering cashback on all purchases, enhancing customer savings with every transaction. With over 35 million products across diverse categories, OnBuy positions itself as a trusted and fair platform for both buyers and sellers, ensuring transparency and protection for each transaction.

📋 Description

• You’ll take ownership of how product data is structured, validated, and used across the platform. • Improving how we classify and understand products at scale • Raising the overall quality of catalogue data and defining what “good” looks like • Ensuring product data supports effective search, filtering, and discovery • Identifying gaps in our catalogue and surfacing opportunities for growth • Improving how our catalogue performs across external channels • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. • You’ll work across: • - Structured data (catalogue attributes, GTINs, taxonomy) • - Unstructured data (text and images) • - Behavioural data (search, clicks, conversions)

🎯 Requirements

• Experience building and shipping production data or ML systems with measurable business impact • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control. • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data) • Ability to design systems that make decisions, not just predictions • Strong judgement in balancing accuracy, risk, and business impact • Experience with ecommerce or marketplace catalogues is a plus, but not required.

🏖️ Benefits

• Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build. • 25 days annual leave + Bank Holidays • 1 extra day off for your Birthday • Employee Assistance Programme • Perks at Work benefit platform • Opportunities for career development and progression