Kingston University / Instinet
graduate job
Expires9 days

Machine Learning Engineer (KTP Associate)

Job description

This is an exciting and challenging opportunity for an ambitious graduate, supported by Kingston University academics and based at Instinet, a leading global broker of equities, in London. This KTP project will develop and deploy innovative machine learning techniques for trading execution performance and monitoring.

You will lead the development of infrastructure and capabilities to deploy machine-learned products to improve the execution performance of equity trading, and machine-learned tools to monitor this performance. You will also have responsibility for authoring reports and academic publications that describe aspects of your work, and the potential impact for Instinet and its clients.

You will be working alongside another KTP Associate, employed as a Machine Learning Scientist.

This position is a 32-month fixed term contract, offering a generous salary, defined-benefit pension as well as a £2k per annum dedicated training budget tailored towards your personal development.

What we are looking for

The ideal candidate will have gained (or be excited to gain) experience of iterative design, development and operation of real-world systems with complex business logic and multiple deployment platforms; ability to translate complex business requirementsinto a prioritized schedule of technical work; experience in creating user interfaces, preferably in a technical domain, that are engaging and designed in a way to encourage and support their use and ability to successfully integrate different technical components to create an overall system.

About KTP: This position forms part of a Knowledge Transfer Partnership (KTP) funded by Innovate UK. It’s essential you understand how KTP works with businesses and the University, and the vital role you will play if you successfully secure a KTP Associate position. For more information please visit:    


You will have a BSc (minimum of 2:1) in a subject with significant mathematical content plus MSc in mathematics, computer science or a closely related subject. And possibly a PhD in similar subjects.

Accepted degree subjects

  • mathematics
  • computer sciences and IT

Additional job details

South West England

Contract, dates and working times
Fixed term


How to apply

Interviews: w/c 11th or w/c 15th November

If you have any questions please email:     

Click Apply to start your application now. This job will be available on Prospects until 31 October 2019

Don't forget to mention Prospects to employers when you contact them.

Closing date:  31 October 2019

Expires9 days

To stay safe in your job search we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organisation working to combat job scams. Visit the SAFERjobs website for information on common scams and to get free, expert advice for a safer job search.