Janes enables militaries, governments, and defence companies to make critical decisions. Our expert-driven tradecraft, developed over 120 years, combined with human-machine teaming, delivers assured open-source intelligence across military capabilities and order of battle, equipment, events, countries, companies, and markets.
Linking millions of assured data points, Janes data model creates a framework of interconnected open source defence intelligence. This allows our customers to integrate all relevant data and connections into a single intelligence environment to deliver a more complete and accurate answer. Using Janes, our customers can use their scarce resource more effectively, to get to better decisions with higher confidence, more quickly.
As part of our ongoing evolution to continue to be at the forefront of analysis in the open-source intelligence domain, we are now expanding our Development and Technology team to enhance the next generation of systems that will enable our customers to interconnect millions of assured data points across Janes foundational intelligence delivering the single source of truth.
You will be working an environment which will encompass machine learning and artificial intelligence, as well as taking advantage of the latest cloud offering in which we would encourage and support learning development.
The ML Tech Lead will lead an agile unit within our Development and Technical team, based in our offices in Manchester. You will collaborate with architects, product owners and the wider business to build a scalable, robust, and secure platforms as well as ensuring we do the basics well.
As a leading member of the team, you will be part of a smart, motivated, and cross functional agile unit. Leading the design, code, testing and implementation of solutions to meet our customer’s needs. The role is a hands-on role, as well as driving engineering decisions and best practices, you will also be coding so need to be an experienced engineer.
Requirements
Given the scale and complexity of what we do, we are looking for people with experience in some of the following:
The ideal skills and experience are:
Desirable:
Benefits