ML Systems Engineer

London Source: WhatJobs

£70,000–£110,000

NexusAM is transforming metal additive manufacturing by tackling its biggest barrier: the prohibitive cost of part qualification. Our platform cuts qualification time and costs while ensuring traceable, consistent quality.

Location:

London, UK

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. ONNXRuntime, 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.)
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