About BMLL:
BMLL is the leading independent provider of harmonised Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies, and better understand market behaviour.
BMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth.
We offer an inclusive and collaborative culture, a hybrid working environment that includes regular days in our London office, weekly team lunches, and a variety of out-of-hours social activities.
For more information, visit our website or follow us on X (@bmlltech) and LinkedIn @ bmll
About the Role:
This is a unique opportunity to build industry-leading technology, drive innovation and influence the direction of our company. The BMLL Lab & Vantage products are the market leading applications for data science and data visualisation on the largest financial datasets. This role involves working in a team of Python & Typescript engineers, alongside the SaaS applications Product Owner. As a senior engineer you will take the lead on design and implementation of new features.
Key Responsibilities:
Requirements
Desirable Skills
Benefits
We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity. We are committed to removing barriers throughout our hiring process. If you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know at careers@bmlltech.com.

BMLL Technologies is the leading independent provider of harmonised Level 3, 2, and 1 historical data and analytics across global equities, ETFs, global futures, and US equity options.
We provide banks, brokers, asset managers, hedge funds, exchanges, academics, and regulators fast, flexible access to granular T+1 order book data and advanced analytics - helping them understand market behaviour, accelerate research, optimise strategies, and generate alpha.