Machine Learning Scientists

Machine Learning Scientists

Closing Date: 7th February 2025

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Aldermaston.

Packages:

• Experienced Machine Learning Scientist (PHD or graduates with post-grad experience): £39,500 - £47,500 (depending on your suitability and level of experience);
• Senior Machine Learning Scientist (qualifications coupled with experience in industry): £52,000 - £62,000 (depending on your suitability and level of experience). A relocation package may be available (terms and conditions apply).

Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.

Let us introduce the role

Do you enjoy designing and developing Machine Learning models?

What if you could work with remarkable people on extraordinary things?

What if your role was mission critical contributing to produce something a little bit special?

For 75 years, AWE Nuclear Security Technologies has been at the forefront of nuclear weapons and security research.

Machine Learning has the potential to impact every part of our mission: we have exciting opportunities for Machine Learning Scientists to join our team. We need your knowledge and skills in Machine Learning Operations, model development and deployment.

At AWE you will be able to train your models at scale on some of the UK's largest supercomputers, leveraging our long history and bright future in high performance computing.

Who are we looking for?

We do need you to have the following:

• Degree in a STEM or IT discipline, equivalent NQF level 6 qualification or equivalent experience;
• Knowledge of data analytic methods and visualisation in languages such as Python;
• Ability to integrate and work well in a team and support or take the technical lead in projects.

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

• Structured approach to problem solving;
• Ability to convey complex and highly technical issues to diverse audiences;
• Familiarity with common Python libraries for data management, statistical analysis, machine learning and visualisation;
• Knowledge of a specific discipline in Machine learning, e.g. NLP, LLM, images, emulation;
• Familiarity with software development lifecycle;
• Linux/HPC computer environments.

You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines.

Some reasons we think you'll love it here:

AWE has wide range of benefits to suit you. These include:

• 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave;
• Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions);
• Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay;
• Opportunities for Professional Career Development including funding for annual membership of a relevant professional body;
• Employee Assistance Programme and Occupational Health Services;
• Life Assurance (4 x annual salary);
• 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.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.

Next steps:

Everyone who works at AWE brings unique skills and perspectives to the table. We recognise that great people don't always 'tick every box'. That's why we focus on your potential, your fit with our values, your transferable skills as well as your experience. Even if you don't meet every point above, but you feel that this role and AWE are a great fit for you, please go ahead and apply, we'd love to receive your application.

Important things you need to know:

• We encourage you to apply promptly to avoid disappointment if applications are high and the role therefore closes;
• You will need to obtain and maintain the necessary security clearance for the role. This will be funded by AWE. The nature of our work does mean you need to be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV;
• We want you to feel comfortable and able to shine during our recruitment process. Please let us know on your application form if you need any adjustments/accommodations during the process;
• Our interviews typically take place over Teams and for most roles are a 1 stage process.