Mind Foundry

Machine Learning Engineer

• Adapting solutions to client-specific data, systems, and interfaces by optimising data pipelines, training workflows, and inference paths for performance, scalability, and reliability.
• Resolving unforeseen edge cases and challenges, providing on-site fixes or relaying them back to the product team.
• Troubleshooting integration issues with existing systems.
• Working directly with product teams to maintain deep technical expertise in Mind Foundry's products, capabilities and workflows.
• Engaging directly with defence customers to translate their needs and goals into technical requirements.
• Providing hands-on support to end users.
• Extending and improving internal ML platforms, tooling, and best practices, incorporating learnings from deployments back into shared frameworks.

Forward Deployed Machine Learning Engineer

• Work closely with colleagues across Science and Engineering, and Product teams to help develop, test and implement ML algorithms that solve complex, real-world problems efficiently and at scale
• Apply established machine learning techniques and libraries to real-world datasets, with support and mentorship from senior team members
• Follow best practices in scientific experimentation, validation, and documentation
• Contribute to technical documentation, internal notes, and project reports
• Attend client meetings to understand customer needs and how solutions are delivered
• Take part in knowledge sharing, training, and professional development activities, including attending relevant events or conferences where appropriate to stay current with emerging ML technologies and techniques and support innovation within the team

Forward Deployed Machine Learning Engineer

Graduate Machine Learning Engineer