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Research Software Engineer in Machine Learning Applied to Finance

University of Oxford - Department of Engineering Science, Oxford

Location: Oxford
Salary: £32,817 to £40,322 (Grade 7) p.a.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 23rd September 2019
Closes: 3rd November 2019
Job Ref: 143070

We are seeking a full-time Research Software Engineer to work on applied Machine Learning and Software Development for Finance. The post involves the continued development of machine learning and financial simulation algorithms as well as liaison with industry partners (our collaborators in Man Group) to enable proof of concept deployment of algorithms on extensive data sets.

The postholder will have experience in producing software for data-centric machine learning. The role will focus as much on creating robust, reliable solutions as it will on innovation, suiting a candidate who is motivated by creating end to end solutions to address real-world problems.

You should possess a first degree in engineering, physics, computer science, mathematics, statistics or similar. Experience in practical applications of machine learning as well as expertise and experience in computer programming are essential. You should have a track record of experience and the ability to work well both independently and as part of a team.

Informal enquiries may be addressed to Professor Stephen Roberts using the email address below. Further information can be found at

You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

Only applications received before 12.00 midday on 03 November 2019 can be considered.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. For more information about working at the Department, see

Closing Date: 03-NOV-2019 12:00

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