Data Engineer, London

London, United Kingdom


This is a rare opportunity to join a phenomenal team of people in a mission-driven company. Diverse sets of noisy data sets are critical to breaking new ground and producing state of the art results in research on our mission to solve intelligence. We are looking for an extraordinarily capable and enthusiastic individual to bring large-scale real-world data ingestion to our research environment.


Founded by Demis Hassabis, Mustafa Suleyman and Shane Legg in 2010, DeepMind’s mission is to solve intelligence and then use it to make the world a better place.

Over the last few years we have created a special environment where long-term, moonshot research flourishes. Our world-class interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build powerful general- purpose learning algorithms, which we then apply to solve real-world problems. We are making significant progress and have made a number of high profile breakthroughs. Our business has a start-up, entrepreneurial culture but operates within a high-profile, global company – this dynamic combination makes us distinctly collaborative and resourceful, as well as extraordinarily ambitious.


You will:

- Plan, design and implement data ingestion processes

- Report and present data ingestion developments including status and results clearly and efficiently, verbally and in writing

- Draw insights from large, noisy real-world datasets that can be used to inspire research


About you

Minimum qualifications:

Degree in STEM subject, experience working with applied statistics is beneficial

Strong knowledge and experience of Python data science and data transformation skills

Experience working with large and noisy datasets

Experience with implementing numerical methods and data visualisation


Preferred qualifications:

Knowledge of numpy and pandas

Contributions to open source projects

A passion for AI


DeepMind welcomes applications from all sections of society.  We are committed to equal employment opportunity regardless of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity or any other basis as protected by applicable law.  If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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