Remote Senior Machine Learning Engineer
Mind Foundry
πRemote - United Kingdom
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Job highlights
Summary
Join our growing Defence and Security team as a Senior Machine Learning Engineer, where you'll create AI/ML solutions, collaborate with colleagues, and contribute to the delivery of professional-level software prototypes. You'll work on client sites or remotely from Oxford, London, or Reading.
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
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
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