Latest AI Security Institute Jobs

Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using technologies like PyTorch, Kubeflow, and fastAPI. Frequent international travel is required for on-site collaboration.

PhysicsX United Kingdom

Hybrid Permanent

Engineering Technician

This role involves diagnosing and resolving engineering faults in Ocado's automated Customer Fulfilment Centre, performing planned maintenance, and contributing to reliability improvement projects. The technician works hands-on with advanced automation systems in a 24/7 environment, ensuring uninterrupted operation of robotic and control systems.

Ocado United Kingdom

On-site Permanent

Senior Deep Learning Software Engineer, Inference

Design and optimize GPU-accelerated deep learning inference software for large-scale language and generative AI models. Contribute to open-source frameworks like vLLM and SGLang, and implement performance improvements across NVIDIA's full range of accelerators from datacenter to edge. Work closely with research and engineering teams to profile, tune, and deploy state-of-the-art model serving solutions using CUDA, Triton, and other low-level optimization tools.

NVIDIA Netherlands

Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design performance studies, diagnose bottlenecks, and deliver optimization plans in collaboration with deep learning and platform teams. Use profiling and data analysis to drive improvements in scalable DGX Cloud systems.

NVIDIA United Kingdom

Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design and execute performance studies to establish baselines, diagnose regressions, and quantify bottlenecks. Define evaluation methodologies and success metrics for AI workloads, using profiling and data analysis to drive optimization. Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

NVIDIA

Senior Performance Engineer

This role involves analyzing end-to-end performance of large-scale AI workloads across compute, networking, storage, and software stacks. The engineer will design performance studies, diagnose bottlenecks, and develop optimization strategies for AI systems running on NVIDIA's DGX Cloud infrastructure. Work includes close collaboration with deep learning engineers, platform teams, and architects to deliver measurable performance improvements at scale.

NVIDIA

Senior Deep Learning Software Engineer, Inference

This role involves designing, optimizing, and maintaining high-performance deep learning inference software for large-scale language and generative AI models. The engineer will work on GPU-accelerated frameworks like vLLM, SGLang, and FlashInfer, implementing cutting-edge algorithms and performance improvements across NVIDIA's full range of accelerators. Collaboration with open-source communities and cross-team partners is central to advancing model serving efficiency and deployment at scale.

NVIDIA PLN 221,250 – PLN 507,000 pa

Senior Deep Learning Software Engineer, Inference

Design and optimize high-performance deep learning inference software for NVIDIA's GPU-accelerated platforms, focusing on frameworks like vLLM and SGLang. Improve model serving efficiency for large language and generative AI models across datacenter and edge devices. Collaborate with research and engineering teams to implement cutting-edge algorithms and performance optimizations using CUDA, Triton, and other low-level tools.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Engineering Technician

This role involves maintaining and troubleshooting automated systems in Ocado's highly advanced Customer Fulfilment Centre. The Engineering Technician will perform reactive and planned maintenance, diagnose engineering faults, and contribute to improvement projects in a 24/7 operational environment. It requires hands-on technical skills and comfort working with automation hardware, software, and control systems.

Ocado London, DA8 1SP, United Kingdom

On-site Permanent

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multi-physics simulation models, particularly in multiphase CFD and coupled CFD-DEM, to support AI-driven engineering solutions. The engineer will work directly with customers across industries like aerospace, energy, and automotive to build and validate complex simulations, automate workflows, and generate data for machine learning. Key responsibilities include geometry processing, meshing, simulation, and optimisation using tools like Star-CCM+, OpenFOAM, or Fluent, alongside Python scripting and parametric CAD integration.

PhysicsX London, United Kingdom

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Senior Simulation Data Engineer

The role involves building and operating end-to-end data pipelines for high-fidelity CFD simulations, from geometry preprocessing and orchestration to post-processing and delivery of ML-ready datasets. You'll ensure data quality, traceability, and performance at scale while working closely with research scientists and ML engineers in a high-performance computing environment. The position uniquely combines simulation engineering, data infrastructure, and AI/ML integration within a cutting-edge deep-tech context.

PhysicsX London, United Kingdom

Sr. Forward Deployed Engineer - Architect - Full Stack

Lead the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. Work hands-on to architect end-to-end solutions combining data engineering, machine learning, and application development while embedding with customer teams to drive adoption and impact. Contribute reusable frameworks and influence product direction through direct customer feedback.

Databricks London, United Kingdom