Deployed AI Engineer, Arondite
Offers equity
Relocation support available
1-4 days a week in office
AI and autonomous sytems for the defence sector
Be an early applicant
AI and autonomous sytems for the defence sector
21-100 employees
Be an early applicant
Offers equity
Relocation support available
1-4 days a week in office
21-100 employees
Company mission
To enable organisations to wield autonomy, data and AI at scale.
Role
Who you are
- Masters degree (MSc, MEng, etc) in computer science, artificial intelligence, machine learning, robotics or a related engineering field
- 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding, multi-modal sensing, control and path planning, or vision-language understanding
- The ability to write clean and maintainable code in Python, Rust, C++ or Java
- Experience with frameworks such as PyTorch, Tensorflow or JAX
- Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders and users
- A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms
Desirable
- PhD in computer vision, machine learning, robotics, or a related field
- Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI)
- Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance
- An understanding of different sensor modalities, their trade-offs, and relevant methods for processing their outputs to drive performance in challenging scenarios
- Created and optimised state-of-the-art AI models for resource-constrained hardware
- Experience with synthetic data generation or simulation, or collection and management of large real-world datasets
What the job involves
- Arondite is looking for Deployed AI Engineers to understand our customer's problems and implement solutions using AI. We want people who are excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team
- You will be working with AI/ML models and deploying them within our software products, both running in the cloud and on edge devices in the field. The role will also encompass addressing the wider practicalities and challenges in implementing AI-based systems, including obtaining training data, addressing ethical concerns and explaining model behaviours
- As an early member of the AI team at Arondite, you will be able to shape how we exploit the AI revolution, both as part of products and to accelerate our internal processes
- Working with customers to identify and understand their problems
- Designing end-to-end AI solutions from the sensor to the user interface
- Training, evaluating, testing and productionising robust and performant deep learning models to solve real-world challenges
- Collaborating with other engineers to integrate models into our enterprise software product and resource-constrained hardware systems
- Inventing novel capabilities and optimising existing approaches whilst remaining aware of ethical implications of your engineering decisions
- Documenting and explaining your solutions to provide evidence of compliance with policies regarding the safe use of AI
- Building secure, robust solutions by adhering to coding standards throughout the development lifecycle
Application process
- CV submission with initial questions
- Introductory Teams call (30-45 mins)
- In-person technical interview (1-2 hours)
- Final interview with one of Arondite’s Founders (30 mins)
Salary benchmarks
Our take
Modern defence operations rely on networks of drones, robots and sensors, but these systems are often built by different manufacturers and struggle to work together. This fragmentation makes it harder to share information quickly, slowing decision-making and increasing risk in high-pressure environments.
Arondite addresses this by creating software that connects these systems into a single platform. Its Cobalt system links different hardware, combines their data, and gives operators a clear real-time view. Rather than replacing equipment, it integrates existing tools and uses AI to support mission planning, coordination, and human-machine teamwork. And its technology is already being developed with partners like Babcock International for the Royal Navy's move toward a mix of crewed and autonomous systems.
Unsurprisingly, Arondite is gaining momentum as demand for AI defence tools grows. Now with over $12M in funding, the company is expanding across Europe, running trials, and refining its platform. Its focus is on helping defence organisations safely manage increasingly complex, connected technologies at scale.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Highly competitive base salary and generous equity in tax-efficient EMI options.
- Free meals provided every day in the office, along with snacks and drinks
- Comprehensive health and dental insurance, and opt-in cover for dependants.
- 7 % employer pension contribution from day one.
- Unlimited, "Take What You Need" holiday policy.
- Relocation support if you're moving to London from elsewhere.
Company HQ
Westminster, London, UK
Leadership
Will Blyth
(Co-Founder & CEO)Previously served in the British Army for 12 years. They then moved on to work as a Defence Strategy Lead at Panatir Technologies and in Partnerships & Programmes at Helsing before co-founding Arondite in December 2023.
Rob Underhill
(Co-Founder & CTO)Graduated from the University of Cambridge with a Master's in Electronic Engineering. They previously served as the Head of Product at Garrison Technology and as a Lead Engineer at BAE Systems Applied Intelligence.
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