Machine Learning Scientist

What if you could work with remarkable people on extraordinary things? What if the end result was something a little bit special? What if your role was mission critical?

For nearly 70 years, AWE has been at the forefront of nuclear weapons research and development. We have a critical mission: to provide the warheads for the UK’s ultimate deterrent – Trident. We also use our unique skills to provide wider UK government with counter-terrorism and nuclear threat reduction solutions.

It takes a special sort of person to work at AWE. What if that person was you?

Would you like to use your experience in data, machine learning and AI to support the UK National deterrent? Do you enjoy designing and developing image-recognition models? If so, this could be your next role! AWE is looking to appoint a Data Scientist for Machine Learning and AI image recognition.

Machine Learning Scientist

Location: Reading area

Package: £31,000 - £33,000 (dependant on suitability and level of experience)

As part of our People Promise, AWE (one of the best 25 big companies to work for in the UK) has a range of benefits to suit you. These include:

As a Machine Learning Scientist, you will contribute to AWE’s capability to build insights and information from our wealth of diverse datasets. This role comes with a host of benefits as well as great opportunities for career and professional development.

The difference you’ll make in this role:

The Key skills & experience you’ll bring:

It would also be advantageous for you to have any of:

We will consider applications from individuals at different stages of their career – recent Graduates or a qualified Scientist with industry experience. Previous experience of Data Science would be an advantage but is not essential.

Candidates must be willing and able to obtain and maintain the necessary security clearance for the role.

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Please note that you must be a British National to apply for a role with us.

Our ambition is to create workplaces where we recognise and celebrate differences, encourage diverse contributions and our employees feel able to be themselves at work. We strive to create a genuine culture of openness and inclusion and encourage diverse applicants. Any inclusion information you provide us will be used to encourage and support you through the application process and will be held only for this purpose in accordance with GDPR.