You get to shape how machine learning is built and deployed inside one of the most recognised financial market infrastructure businesses in the world.
This is a senior role with real scope. You are not maintaining someone else's work. You are building production ML systems that matter, in an environment where the data is complex, the stakes are high and the pace keeps things interesting.
You work on end-to-end machine learning solutions, from pipeline architecture through to model deployment and lifecycle management.
You have the seniority here to influence technical direction. Your opinions on how things should be built carry weight, and you are working alongside people who take the craft seriously.
On the technical side, you are strong in Python and you have built and shipped ML systems in production before. You understand data pipelines, you know how model lifecycles work in practice, and you are comfortable operating in a regulated setting where the bar for quality is high.,
Ready to take your ML engineering into a global markets environment where your work has real impact?
Get in touch.
No up-to-date CV required.
