Latest Computer Vision Jobs

Tech Engagement Lead, AI Labs - EMEA

This role involves leading technical partnerships with frontier AI labs to integrate NVIDIA's GPU and software stack into advanced AI workloads, from research to inference. The candidate will identify emerging technical requirements, optimize performance on NVIDIA platforms, and translate partner insights into product roadmap influence. It combines deep technical engagement with strategic collaboration across research, infrastructure, and product teams to drive joint innovation and scale AI systems.

NVIDIA France

Tech Engagement Lead, AI Labs - EMEA

This role involves building deep technical partnerships with leading AI research labs and model builders to integrate NVIDIA's GPU, systems, and software stack into cutting-edge AI workloads. The individual will identify performance bottlenecks, drive platform optimisation across training, post-training, and inference, and translate technical insights into product roadmap influence. It combines frontier AI research understanding with infrastructure expertise to shape both partner success and NVIDIA’s future platform development.

NVIDIA

Applied AI Engineer, Startups (Codex)

This role involves working closely with startups to integrate OpenAI's Codex into their development processes. Responsibilities include designing and leading technical talks, workshops, and hackathons, building reusable tools and resources, and translating customer feedback into actionable insights for OpenAI's teams.

OpenAI London, United Kingdom

On-site Permanent

Forward Deployed Engineer - London (Spanish-speaking)

This role involves leading end-to-end technical deployments of cutting-edge AI models for strategic customers, from prototyping to production. The engineer will build full-stack systems, deeply integrate with customer teams, and translate field feedback into product and model improvements. Success is measured by real-world adoption and measurable impact on customer workflows.

OpenAI London, United Kingdom

Permanent

Sr. Intelligence Software Engineer , DEU)

This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems that support intelligence analysts and researchers. The role requires deep expertise in scalable, distributed architectures and the ability to work independently in a remote, geographically distributed team.

CrowdStrike

Remote

Applied AI Engineer, Enterprise

This role involves guiding large UK businesses in deploying Claude, Anthropic's AI platform, into their operations. Responsibilities include technical advising, architecture design, and presenting business value to C-level executives, while navigating procurement and compliance requirements.

Anthropic London, United Kingdom

Technical Deployment Lead

Lead end-to-end technical delivery of custom AI agent solutions for enterprise clients in regulated industries, managing product scoping, stakeholder engagement, and deployment execution. Translate business objectives into technical roadmaps, coordinate cross-functional teams, and define measurable impact while navigating compliance and organizational complexity. Help build scalable deployment playbooks and feed real-world insights back into product and research.

Anthropic London, United Kingdom £165,000 – £230,000 pa

Research Engineer, RL Scaling Science

This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues that emerge at scale, and translate validated research findings directly into production training pipelines. The position sits at the intersection of research and systems engineering, requiring deep empirical rigor and close collaboration with both research and infrastructure teams.

Anthropic London, United Kingdom £375,000 – £640,000 pa

Staff Infrastructure Engineer, Cluster Infrastructure

This role focuses on designing and managing large-scale compute cluster infrastructure, with a strong emphasis on automation, security, and scalability. The engineer will lead technical strategy for provisioning and lifecycle management of clusters across cloud and on-prem environments, ensuring high-bandwidth interconnectivity and fault tolerance. Responsibilities include cross-team collaboration on compute strategy, operational excellence, and mentoring other engineers.

Anthropic London, United Kingdom £325,000 – £485,000 pa

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £325,000 – £390,000 pa

[Expression of Interest] Research Engineer / Scientist, Alignment - London

Conduct experimental research on AI safety, focusing on alignment and robustness of advanced systems. Develop and test techniques like AI debate and jailbreak evaluation, contributing to publications and safety policy. Work in a collaborative, interdisciplinary team using machine learning and systems engineering.

Anthropic London, United Kingdom

Hybrid Permanent