Senior Machine Learning Engineer - Defence and Security

Senior Machine Learning Engineer - Defence and Security

We are looking for a Senior Machine Learning Engineer to join our growing Defence and 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. But commutable from our office in Oxford would also work.

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.

WHAT YOU'LL BE DOING

You'll be using your experience to create AI/ML solutions and enable the delivery of professional-level software prototypes. You will work alongside other Machine Learning Engineers, Research Scientists and Product managers to help take cutting-edge approaches and turn them into performant and robust solutions for our customers’ problems.

As a Machine Learning Engineer, you will: 

• Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers and our Engineering teams).
• Maintain and develop a good working knowledge of state-of-the-art ML methods, software tools and implementation methods.
• Work closely with platform-engineers to provide ideas and advice on ML techniques you are familiar with.
• Evaluate scientific concepts for viability of implementation.
• Write maintainable production-code and promote best practices for code quality in a scientific codebase.
• Attend client meetings as required.
• Where appropriate, you may deliver training to the customer on core ML concepts and Mind Foundry products and solutions.
• It is highly likely that as part of this role you will be required to work away at partner locations. 

WHAT YOU'LL NEED

• A Masters degree in a scientific discipline such as Mathematics, Computer Science, Physics, or similar. A PhD/DPhil is highly valued in Mind Foundry, but not essential for this role. 
• Extensive experience in writing and maintaining code in a commercial environment.
• Be an experienced software engineer, fluent in Python, ideally in a scientific or industrial context.
• Experience of working with ML or statistical methods.
• Be a champion of scientific integrity practices in terms of experimental rigour and validation.
• Be able to work with state-of-the-art ML libraries to deliver powerful results quickly.
• Be eager to learn and have a collaborative approach.
• Be comfortable working with customers to develop, discover and deliver services and products to meet their requirements.

GREAT IF YOU ALSO HAVE:

• Experience handling large datasets, suitable software techniques and hardware requirements.
• Experience deploying ML into a production environment.
• Familiarity with the wider ML ecosystem (beyond the tools you've applied previously).
• Ability to communicate complex ideas at varying levels of depth according to the audience.
• Experience with Git, or other version control systems.
• Experience with Linux.
• Ability to write and contribute to technical material (documentation, published papers, internal technical notes etc).
• Experience working in the Defence and National Security space.

This role will have the opportunity for flexible and remote working but you will at times be required to work from a client site or our office in Oxford.