Artificial Intelligence Jobs

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

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

This role involves designing and implementing large-scale AI and HPC GPU infrastructure with a focus on datacentre power, cooling, and MEP integration. The Solutions Architect will work closely with cloud partners and customers to ensure technical requirements are met throughout the deployment lifecycle, from PoC to production. Key responsibilities include advising on datacentre best practices, troubleshooting infrastructure bottlenecks, and shaping future NVIDIA product development through customer feedback.

NVIDIA France

AI Engineer / AI Solutions Specialist

Design and deploy AI-powered solutions including AI assistants, intelligent automation, and RAG systems using internal data. Integrate AI with enterprise platforms like Microsoft 365 and SharePoint while ensuring security, compliance, and scalability. Work across technical delivery and stakeholder engagement to shape the organisation's AI strategy from the ground up.

Hays Technology Sheffield, South Yorkshire, United Kingdom

MLOps Platform Developer / Full-Stack AI Engineer

This role involves end-to-end ownership of a full-stack engineering platform integrating AI, real-time telemetry, and building management systems. You'll operate and evolve an LLM serving stack with fine-tuning pipelines, maintain a React/TypeScript frontend with offline-first mobile capabilities, and manage large-scale PostgreSQL databases and MQTT-based data ingestion from IoT systems. The position combines MLOps, full-stack development, and domain-specific engineering intelligence in the context of energy transition infrastructure.

Anonymous London, United Kingdom

Solutions Architect - NVIDIA AI Cloud Partners and Datacentre Infrastructure

Design and deploy scalable AI and HPC GPU infrastructure in large-scale datacentres, focusing on power, cooling, and MEP integration. Collaborate with cloud partners to solve technical challenges in datacentre design and support real-world deployment of NVIDIA technologies. Provide expert guidance on infrastructure optimisation and contribute to product strategy through customer feedback.

NVIDIA

Senior Medical Affairs Associate

This role involves analyzing and synthesizing internal and external healthcare data to generate actionable medical insights that inform strategic decision-making in the HIV therapeutic area. The individual will support integrated insights workflows, contribute to AI-enabled analytics initiatives, and collaborate with cross-functional teams to enhance evidence-based planning. Emphasis is placed on data governance, operational excellence, and innovation in insights generation.

Proclinical Hayes, London, BR2 7JF, United Kingdom

Senior Network Solution Architect

Design and implement end-to-end data center networking solutions integrating NVIDIA GPUs and networking technologies for cloud, HPC, telco, and enterprise clients. Lead technical pre-sales engagements, develop custom proofs-of-concept, respond to RFPs, and deliver product roadmaps to strategic customers. Provide field feedback to engineering and marketing teams to shape future product development.

NVIDIA

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

AI Consultant

Design and manage enterprise AI platforms, intelligent agents, and automation workflows across cloud and on-premise environments. Develop scalable AI architectures, integrate with business systems, and ensure compliance with security and governance standards. Support organisational AI adoption through technical leadership and cross-functional collaboration.

Reed Technology Sheffield, South Yorkshire, United Kingdom

Product Manager - VT

Lead the product strategy and development of video telematics solutions, integrating AI-driven driver monitoring, cloud video platforms, and fleet analytics. Work closely with engineering, data science, and customer-facing teams to deliver safety-focused technology for fleet operators. Translate customer insights into product requirements and manage the full product lifecycle from concept to launch.

Vermelo RPO Southborough, Kent, Kent, TN4 0QP, United Kingdom

Data Scientist

Design and deliver custom data science solutions for high-impact projects in the defence sector, working closely with clients and cross-functional teams. Focus on ethical, reliable AI applications requiring technical leadership, rigorous model development, and clear communication of insights to non-technical stakeholders. Contribute to thought leadership through teaching or open-source work.

Faculty London, United Kingdom

Hybrid Permanent

Junior Developer

Develop and maintain backend services using Python and Node.js, work with databases and cloud infrastructure on AWS, and contribute to the deployment of machine learning models in production, particularly in computer vision for transport solutions. Collaborate across the full development lifecycle in a growing engineering team focused on real-world AI applications.

Avanti Recruitment Old Street, London, United Kingdom £45,000 – £55,000 pa

AI Engineer

Design and implement AI models, from prototyping to deployment, with a focus on generative AI and LLMs. Collaborate across teams to build responsible, scalable solutions using PyTorch, TensorFlow, and MLOps tools. Work on diverse client projects in an agile, ethically driven environment.

Peregrine Preston, Lancashire, United Kingdom