About Nexus

Nexus is an ambitious seed stage startup building the intelligence layer of metal 3D printing. Our platform, NEXUS, takes multi-modal sensor data and generates actionable insights for quality assurance. Formed at Imperial College London by leading experts in the field of additive manufacturing and artificial intelligence, we’re trusted by aerospace, defence, and medical manufacturers, and we're backed by leading investors. We're on a mission to accelerate manufacturing of high-value safety-critical parts with additive manufacturing.

The Opportunity

As our ML engineer, you must have experience deploying and optimising large and complex (yet maintainable) AI systems, and you should be able to do this at a pace most competent people don’t think possible. You'll be at the forefront of deploying novel computational approaches and AI models that are already changing how aerospace, medical, and automotive manufacturers produce next generation components.

Core Responsibilities

Deploy multi-modal data processing and inference pipelines (image, time-series, point clouds and more)

· Work with large complex AI models that need novel frameworks and ideas to be deployed effectively

· Partner with our software team to solve complex deployment and inference challenges in resource-constrained environments

Required Expertise

Bachelor's degree or equivalent experience in computer science, engineering, or related field
3+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems
Experience deploying ML inference in C++ (e.g. ONNX Runtime, TensorRT, libtorch)
Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning
Exceptional problem-solving abilities with a bias toward practical solutions
Eligible to work in the UK

Nice to have

Experience deploying AI in regulated or safety-critical environments (aerospace, medical devices, automotive, etc.)
GPU programming (CUDA)
Published research at top-tier AI conferences (NeurIPS, ICML, ICLR, CVPR, ECVA, etc.)
Background in manufacturing processes, materials science, or signal processing
Startup experience or demonstrated ability to thrive in ambiguous, fast-paced environments

Why Join Nexus

Impact

: Your work will directly enable more sustainable, efficient manufacturing of critical components

Innovation:

Work at the bleeding edge of both AI and advanced manufacturing

Team

: Expect talented, motivated, intense, and interesting co-workers

Benefits

Competitive salary and meaningful equity ownership
Comprehensive healthcare package
25 days holiday plus bank holidays and extra Christmas holidays
Central London location with excellent facilities (in-person role)
Regular team events and learning opportunities

Application Process

Submit your CV (max 2 pages) and a brief cover letter explaining your interest to careers@nexus-am.com
Include links to your GitHub or portfolio of relevant work
Applications are reviewed on a rolling basis, and you can expect to hear from us within 7 days
Our interview process is streamlined to respect your time, typically involving:

ML Systems engineer

Job description