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£80,000 pa Hybrid Permanent

AI Compiler Engineer

Design and develop AI compiler infrastructure targeting specialised hardware platforms, working across compiler pipelines, optimisation passes, and performance-critical software components. Optimise ML workloads and computational graphs for efficient execution on next-generation AI and edge computing systems. Contribute to compiler technologies using LLVM/MLIR and closely integrated hardware-software stacks.

IC Resources

Bristol, Eng, United Kingdom

Hybrid Permanent Flexible Clearance Required

Computer Vision Engineer

Develop and deploy advanced computer vision systems for high-stakes defence applications, bridging cutting-edge research with real-world deployment. Lead technical strategy, mentor teams, and contribute to business development through bids and client engagement. Work in a hybrid model with regular on-site client collaboration across the UK.

Faculty AI

London, United Kingdom

£292,500 – £650,000 pa Remote Permanent

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems for internal and external customers, focusing on MLOps pipelines, distributed training, and inference performance. Build open-source tools and reference architectures to scale AI workloads on NVIDIA platforms and cloud partners. Act as a technical advisor for complex production issues across hardware, software, and infrastructure layers.

NVIDIA

Hybrid Permanent

Applied AI Engineer, Government, International

This role involves delivering AI solutions to international public-sector customers, working closely with government agencies and technical teams to identify and implement high-value applications. Responsibilities include hands-on implementation, strategic guidance, and collaboration with various stakeholders to ensure successful deployment and scale.

OpenAI

London, United Kingdom

Remote Permanent

Senior Applied Research Engineer - Video

This role involves developing and scaling latent video diffusion models for human-centric synthetic video generation, with a focus on controllability, training stability, and efficient inference. The engineer will work on distributed training systems, evaluation frameworks, and optimization of production-grade foundation models. The position bridges deep learning research and engineering to deliver high-quality, scalable AI video technology used by major enterprises.

Synthesia

London, United Kingdom

£37 – £46 pa Contract

Research Associate in Machine Learning for Astronomical Imaging (Fixed Term)

Conducts original research in machine learning for astronomical imaging, focusing on detecting and characterising low surface brightness structures in large-scale surveys. Develops and implements AI methods such as generative and simulation-based models, and builds scalable software infrastructure for data pipelines and model deployment on GPU/HPC systems. Publishes findings, presents at conferences, and contributes to open-source research software and student supervision.

University of Cambridge

Cambridge, South East England, United Kingdom