Deployed AI Engineer

About Arondite

Arondite enables organisations to wield autonomy, data and AI  equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries.

We exist to ensure the UK and its allies out-think, out-pace and out-adapt those who seek to threaten our values and way of life. Our technology is designed for deployment in the world’s most austere environments, and is relied upon by the world’s most demanding operators. We deploy alongside them, bringing our technical expertise wherever it is needed.

You will join Arondite at a pivotal moment in the company’s journey. We are ambitious, building for the long-term and backed by globally renowned investors including Index Ventures (Anthropic, Wiz, Figma, Revolut). Our company is being built by exceptional people; people who find high-tempo and challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world’s hardest and most important problems.

You will have ownership and autonomy from Day One. There is no corporate ladder  hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition.

If you are motivated by our mission and if you want to be part of an outstanding team, then we want to hear from you.

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 product ionising 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

Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don’t expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists.

• 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

• PhD in computer vision, machine learning, robotics, or a related field
• Authored publications in top-tier journals and conferences (e.g.…