Machine Learning Scientist Reading, England
AWE
Full Time
Reading, England
31000 - 33000 GBP ANNUAL Today
Job description
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:
- Time to recharge your batteries with 270 hours of annual leave (plus every other Friday off work)
- Consideration for flexible working arrangements so that your work may fit in with your lifestyle. Just let us know on your application if you wish to work part time
- Opportunities for Professional Career Development that include funding for the annual membership of a relevant professional body, access to mentors and training
- Employee Assistance Programme and Occupational Health Services
- A generous defined contribution Group Personal Pension (we will pay between 9% and 13% of your pensionable pay depending on your own contribution)
- Life Assurance
- Discounts – access to savings on a wide range of everyday spending
- Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring for your family
- A host of voluntary & core benefits to suit your health and wellbeing – more information available on our careers site
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:
- Contributing solutions to real-life scientific, engineering and business challenges across AWE; producing real-life improvements to timescales, safety and quality
- Implementing, developing, testing and validating Machine Learning models for image and data processing
- Contributing to the digital future of AWE by applying Image Segmentation, Object Detection, Video/Temporal Machine Learning Techniques to large scale datasets.
- Participate in all phases of the data science lifecycle from Proof of Concept to fully tested products/solutions
- Develop deep understanding of the nuclear defence sector and the opportunities for transformation
The Key skills & experience you’ll bring:
- Degree in a STEM or IT discipline, equivalent NQF level 6 qualification or equivalent experience
- Knowledge of data collection and visualisation tools
- Knowledge of Image Segmentation, Object Detection, Video/Temporal Machine Learning Techniques
- Ability to develop code in languages like Python, with experience using packages like Tensorflow, PyTorch and OpenCV
- Ability to integrate and work well in a multi-disciplinary team
It would also be advantageous for you to have any of:
- Structured approach to problem solving
- Ability to convey complex and highly technical issues to diverse audiences
- Understanding of big data tools
- Experience of working in MS and Unix/Linux environment
- Ability to develop code (such as machine learning and AI models) in appropriate software
- Knowledge of machine learning model types and effective processes
- Understanding of parallel programming concepts
- Familiarity with software development lifecycle
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.
#LI-GD
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.
AWE
http://www.awe.co.uk
Aldermaston, United Kingdom
Alison Atkinson
$100 to $500 million (USD)
5001 to 10000 Employees
Company - Public
Aerospace & Defence
1940
