Remote Machine Learning Engineer

Summary

Join our growing Defence and Security team as a Senior Machine Learning Engineer, primarily based on client sites 3/4 days per week. You will create AI/ML solutions, work with colleagues to deliver professional-level software prototypes, and maintain knowledge of state-of-the-art ML methods.

Requirements

• A Masters degree in a scientific discipline such as Mathematics, Computer Science, Physics, or similar
• 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

Responsibilities

• 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

Preferred Qualifications

• 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