Machine Learning Scientist

Mind Foundry is an Oxford University company, founded by world-leading academics. Our mission is to create a future where humans and AI work together to solve the world's most important problems

We believe that AI is one of the most important technological advancements in human history, and in order to create a better future, it must be created responsibly and in a way that aligns with human values. We do this by creating AI responsibly from trusted scientific principles. We develop algorithms that are humble, honest, and aware of their limitations.

Our work focuses on creating a future where humans and AI work together to radically transform our world for good. Our technology has been used to solve problems when no other solution was available. The Mind Foundry Platform powers comprehensive offerings for the most complex problems in Insurance, Infrastructure, Defence & Security, and others.

ABOUT THE ROLE

We are growing our team and are seeking a Machine Learning Scientist for our Engineering & ML department. You'll engage directly with clients and stakeholders within the business, creating solutions for problems outside of our product sphere, or helping to apply the existing products into their business, alongside the development of new and existing features for our main products.

WHAT YOU'LL BE DOING

You'll be using your experience in one or more of the following areas to create AI/ML solutions: probabilistic modelling, geospatial modelling, probabilistic and traditional optimisation, NLP or Computer Vision.

As a Machine Learning Scientist, you'll need to:

• Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers and our Engineering teams) to develop ML models from inception to deployment and maintenance.
• Be responsible for ensuring scientific rigour and best practice is maintained throughout the delivery process, from research project to final implementation.
• Supervise other team members and interns in their work on research projects where necessary.
• Maintain and develop a good working knowledge of state-of-the-art Machine Learning research.
• Write technical material (deliverable reports, documentation, published papers, internal technical notes etc).
• Attend client meetings as required.
• Attend appropriate scientific conferences and events in areas related to our products and services.

WHAT YOU'LL NEED

• A PhD degree (or MSc with >3 years of work experience) in Computer Science, Applied Mathematics, Statistics, Engineering, Physics or related field, or an equivalent level of experience in these subjects.
• Experience in a commercial setting.
• Be fluent in Python, ideally in a scientific or commercial context.
• Ability to work with state-of-the-art ML libraries to deliver powerful results quickly (e.g. Tensorflow or Pytorch).
• Experience designing and implementing software systems that allow users to make best use of ML models in a clear and intuitive way.
• Be a champion of scientific integrity practices in terms of experimental rigour and validation.
• Be eager to learn and have a collaborative approach.
• Be comfortable speaking to customers and understanding what they need, or happy to learn quickly.

GREAT IF YOU ALSO HAVE

• Bilingual in English and Japanese
• Experience working with various types of data, such as time series, audio, radio frequency or imagery.
• Experience with NLP and/or Computer Vision (including Generative AI models)
• Experience handling large datasets, suitable software techniques and hardware requirements.
• Knowledge of software development lifecycle and Agile methodologies.
• Other programming languages (Java, JavaScript/TypeScript).
• Experience with Git and version control.
• Ability to communicate complex ideas at varying levels of depth according to the audience.