AI for high-stakes applications. Responsible, by design.
High-Stakes AI • Responsible AI • Artificial Intelligence • Machine Learning
August 31
🏢 In-office - London
AI for high-stakes applications. Responsible, by design.
High-Stakes AI • Responsible AI • Artificial Intelligence • Machine Learning
• 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.
• 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.
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