ML Systems Engineer: Deployable AI for Metal 3D Printing

NexusAM; Is-sur-Tille; Sur place; EUR 81 000 - 140 000; Plein temps

Avantages offerts par ce poste

Healthcare package

Equity ownership

25 days holiday

Central London location

Résumé du poste

NexusAM, a seed-stage startup in London, is hiring a ML Systems Engineer to deploy and optimize multi-modal AI systems in production. You will handle real-time inference pipelines and work with large model architectures to deliver scalable, quality-assured results.

You will collaborate with the software team to tackle deployment challenges in resource-constrained environments and contribute to advancing additive manufacturing of high-value components.

Qualifications

• Bachelor's degree or equivalent in computer science, engineering or related field.
• 3+ years building and deploying real-world AI systems.
• Experience deploying ML inference in C++ (ONNXRuntime, TensorRT, LibTorch).
• Strong knowledge of CNNs, time-series models and transfer learning.

Responsabilités

• Deploy multi-modal data processing and inference pipelines (images, time-series, etc.).
• Work with large AI models requiring novel deployment approaches.
• Collaborate with software teams to solve deployment challenges in constrained environments.

Connaissances

AI deployment

Deep learning

Problem solving

C++ experience

Team collaboration

Formation

Bachelor's degree or equivalent in CS/engineering

Outils

ONNXRuntime

TensorRT

LibTorch

CUDA

Description du poste

NexusAM, a seed-stage startup in London, is hiring a ML Systems Engineer to deploy and optimize multi-modal AI systems in production. You will handle real-time inference pipelines and work with large model architectures to deliver scalable, quality-assured results.

You will collaborate with the software team to tackle deployment challenges in resource-constrained environments and contribute to advancing additive manufacturing of high-value components.