Remote Machine Learning Scientist

Summary

Join our growing Defence and Security team as a Machine Learning Scientist, utilizing your experience in signal processing, optimisation, geospatial data modelling, image processing, state estimation and tracking, and high-fidelity simulations of physical systems to create AI/ML solutions. As a Machine Learning Scientist, you'll work collaboratively with colleagues, ensure scientific rigour, supervise team members, maintain knowledge of state-of-the-art Machine Learning research, write technical material, attend client meetings, and participate in scientific conferences.

Requirements

• A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or an equivalent level of experience in these subjects
• 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)
• 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

Responsibilities

• Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Engineers and our Engineering teams)
• 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, internal technical notes etc)
• Attend client meetings as required
• Attend appropriate scientific conferences and events in areas related to our products and services

Preferred Qualifications

• Experience working with radio frequency, imagery or audio data
• Experience handling large datasets, suitable software techniques and hardware requirements
• Knowledge of software development lifecycle and Agile methodologies
• Experience with Git and version control
• Ability to communicate complex ideas at varying levels of depth according to the audience
• Experience in a commercial setting
• Experience working in the Defence and National Security space