Website BMLL Technologies Ltd
WHAT WILL YOU BE DOING?
You will be working on a platform which is provisioning a highly-complex and valuable dataset on a cloud computing platform. Through this work you gain extensive exposure to datasets used in algorithmic trading and the major clouds.
You will be required to implement findings from peer-reviewed machine-learning journal papers in code and test their results both locally and at scale in a distributed environment. Code is written in Python 3.x, committed with Github and subject to PR. Your main interface will be Jupyter. You will be required to produce publication quality work and may also have the chance to put your work into a scientific poster.
You will be an undergraduate, masters or PhD student at a leading UK university. You will have a passion for R&D and have coded at home and at university for a number of years. Your degree may be engineering, maths, computer science, natural sciences – what is important is your zeal for science.
In addition, you will have
- Experience with Python programming
- Experience of Git source control
- Experience with LaTeX
- Experience of writing algorithms
- A passion for data and understanding complex systems
This internship is runs for the dates Monday 7th October 2019 – Friday 20th December 2019
Important dates are,
- Application deadline 1800 UTC, Friday 6th September 2019
- All candidates will be informed in writing if successful no later than Monday 9th September 2019
- Welcome drinks 1700 Thursday 26th September 2019
- Start date 1000 UTC Monday 7th October 2019
- End date Friday 20th December 2019
Conditions of the Internship
- If successful and an internship offer is made, BMLL will require a letter of support from your university tutor or PI, as a condition of the offer.
- It is expected you will live in your university or family accommodation for the duration of the internship. If successful and an internship offer is made, BMLL will require to see documentation showing proof of the intended location of accommodation.
- You will be able to take up to one weeks holiday during the internship period.
- For students on tier 4 VISA’s you are only allowed to work (paid or unpaid) for 20 hours a week during your university term time. This means if you are a VISA holder and your university holiday times do not coincide with the internship date range then you can not apply for this internship, due to the minimum time commitment the positions require being 40 hours per week.