As an ML Systems Engineer at NexusAM, you will deploy and optimize multi-modal inference pipelines for safety-critical metal 3D printing. Working in a tight-knit team of eight, you’ll tackle research-grade deployment challenges using C++, ONNX, and TensorRT to provide real-time insights that replace days of destructive testing for aerospace and medical components.
ML Systems Engineer at NexusAM
NexusAM is a seed-stage Imperial College London spinout revolutionizing metal 3D printing with a real-time AI intelligence layer. As their ML Systems Engineer, you’ll deploy multi-modal inference pipelines for safety-critical parts in aerospace and medicine, replacing days of testing with instant insights. This is a rare chance to join an elite team of eight experts, tackle research-grade deployment challenges using C++ and TensorRT, and earn meaningful equity in a high-impact deep-tech startup. If you have 3+ years of experience and a bias for practical solutions, this London-based role offers the opportunity to define the future of manufacturing AI.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
NexusAM
Role overview
Manufacturing
Nexus Additive Ltd accelerates the adoption of metal additive manufacturing by turning real-time sensor data into quantifiable insights, enabling process limit pushing, waste reduction, and faster production. Their platform tackles part qualification costs using AI for real-time monitoring, defect detection, digital qualification, and consistent quality, serving aerospace, medical, and energy sectors.
What you will do
- Build and optimize high-performance, multi-modal data processing and inference pipelines for images, time-series data, and complex point clouds.
- Deploy large-scale deep learning models into resource-constrained environments using C++ frameworks like ONNX Runtime, TensorRT, or libtorch.
- Collaborate with the software team to implement novel computational approaches that ensure strict latency budgets and edge-scale hardware reliability.
Who this is a fit for
- Has 3+ years of experience deploying real-world AI systems, with a deep understanding of CNNs, time-series models, and transfer learning.
- Possesses professional proficiency in C++ for ML inference and experience with frameworks like TensorRT, libtorch, or GPU programming (CUDA).
- Demonstrates a bias toward practical, maintainable solutions and is eligible to work in the in-person London office without visa sponsorship.
Why this role is remarkable
- Join an elite team of eight experts spun out from Imperial College London, working at the bleeding edge where AI meets advanced safety-critical manufacturing.
- Solve high-stakes engineering problems by compressing days of X-ray CT and destructive testing into real-time quality assurance insights for global manufacturers.
- Gain significant impact as an early team member with meaningful equity in a seed-stage startup backed by leading investors in the deep-tech space.
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