Senior Machine Learning Scientist (Defence and Security)

Senior Machine Learning Scientist - Defence and Security

We are looking for a Senior Machine Learning Scientist to join our growing Defence and National Security team, in our Engineering and Machine Learning department.

This role is primarily based on client sites 3/4 days per week, likely London or Reading.

ABOUT MIND FOUNDRY

We established Mind Foundry to ensure that AI can be used to radically transform our world for the better. To do this, we design intelligent tools that are easy to understand and easy to use. Born within the University of Oxford's Machine Learning Group and founded by world-leading academics Professors Stephen Roberts and Mike Osborne, we empower teams with responsible AI solutions. We tackle high-stakes problems that help organisations in the public and private sectors, focusing on human outcomes and the long-term impact of AI interventions.

We grow and succeed together by working in collaborative, flexible, and self-organising remote-first teams where your passion for robust, science-led, product development will allow you to thrive. Working at Mind Foundry will provide an excellent platform for you to grow, learn, and have a real impact on the important problems in the world by helping us to make our vision a reality.

ABOUT THE ROLE

We are growing our team and are seeking aSenior Machine Learning Scientist. You will contribute to our Defence & Security work as part of our Applied Machine Learning team. You will work alongside other Research Scientists, Machine Learning Engineers, and Product managers to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. As a Senior Machine Learning Scientist, you will:

1. Use your experience to create AI/ML solutions forsignal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems.
2. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers and our Engineering teams).
3. Maintain and develop a good working knowledge of state-of-the-art ML methods, software tools and implementation methods.
4. Work closely with platform-engineers to provide ideas and advice on ML techniques you are familiar with.
5. Evaluate scientific concepts for viability of implementation.
6. Be responsible for ensuring scientific rigour and best practice is maintained throughout the delivery process, from research project to final implementation.
7. Write maintainable production-code and promote best practices for code quality in a scientific codebase.
8. Attend client meetings as required.
9. Where appropriate, you may deliver training to the customer on core ML concepts and Mind Foundry products and solutions.
10. Attend appropriate scientific conferences and events in areas related to our products and services.
11. Mentor colleagues in performing research, or learning about Machine Learning or Data Science.
12. As part of this role you will be required to work away at partner locations.

WHAT YOU'LL NEED

1. A Masters degreein Computer Science, Applied Mathematics, Statistics, Physics or related field, or an equivalent level of experience in these subjects. A PhD/DPhil is highly valued in Mind Foundry, but not essential for this role.
2. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly.
3. Be fluent inPython, ideally in a scientific or commercial context.
4. Experience designing and implementing software systems that allow users to make best use of ML models in a clear and intuitive way.
5. Be a champion of scientific integrity practices in terms of experimental rigour and validation.
6. Be eager to learn and have a collaborative approach.
7. Experience acting as a technical/research lead on projects.
8. Ability to communicate complex ideas at varying levels of depth according to audience.
9. Be comfortable speaking to customers and understanding what they need, or happy to learn quickly.

GREAT IF YOU ALSO HAVE

1. Experience working with audio, radio frequency or imagery data.
2. Experience handling large datasets, suitable software techniques and hardware requirements.
3. Familiarity with the wider ML ecosystem (beyond the tools you've applied previously).
4. Experience with Git, or other version control systems.
5. Ability to write and contribute to technical material (documentation, published papers, internal technical notes etc).
6. Experience working in the Defence and National Security space.

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