AI Engineer (Algorithms)

About the role

Arondite builds software that lets operators combine platforms and capabilities and make mission-critical decisions faster, and is looking for AI Engineers to design and build AI solutions for customers. The role works with AI/ML models deployed in cloud and edge software, and covers practical issues such as training data, ethics and model explainability. It suits early members of the AI team who want ownership from Day One.

Key responsibilities

• Work with customers to identify and understand their problems
• Design end-to-end AI solutions from sensor to user interface
• Train, evaluate, test and productionise robust deep learning models
• Integrate models into enterprise software and resource-constrained hardware with other engineers
• Optimise approaches while keeping ethical implications in mind
• Document and explain solutions to show compliance with safe-use policies
• Build secure, robust solutions following coding standards throughout development

Required profile

• MSc, MEng or equivalent in computer science, AI, machine learning, robotics or a related engineering field
• 4 years of experience researching and applying modern AI/ML (scene understanding, multi-modal sensing, control and path planning, vision-language understanding)
• Ability to write clean, maintainable code in Python, Rust, C++ or Java
• Security clearance or willingness to undergo UK security vetting to Security Check (SC) or above, normally requiring 5 years of continuous UK residency
• Right to work in the UK at the time of application
• Willingness to work in the office by default, with occasional customer visits

Required skills

• Frameworks such as PyTorch, TensorFlow or JAX
• Strong written and verbal communication
• Nice to have: PhD in a relevant field, publications in top venues, MLOps experience, knowledge of sensor modalities, experience with resource-constrained hardware, synthetic data or large datasets

What we offer

• Competitive base salary and generous EMI share options
• 7% employer pension contribution
• Free daily meals, private health and dental insurance, cycle to work scheme
• Relocation support and access to resources, equipment and training

The process is a CV submission, a 30-45 minute introductory Teams call, an in-person technical interview and a final interview with a Founder.