Latest computer vision Jobs

Senior Solutions Architect – Large Scale AI Training

This role involves working closely with leading AI research institutions and model builders across EMEA to design and optimise large-scale AI training and post-training workflows, particularly for foundation models and Mixture-of-Experts architectures. The Senior Solutions Architect acts as a technical bridge between customers and NVIDIA’s product and research teams, advising on distributed training strategies, infrastructure efficiency, and alignment techniques like RLHF. Key responsibilities include optimising GPU utilisation, supporting RL workflows, and shaping product development through customer insights.

NVIDIA France PLN 292,500 – PLN 507,000 pa

Senior Solutions Architect – Large Scale AI Training

This role involves serving as a technical expert for leading AI organizations in EMEA, focusing on large-scale AI model training and alignment. You'll guide customers on distributed training strategies, optimize infrastructure and software stacks using NVIDIA's full training stack including Megatron-LM and NeMo, and influence product development based on field feedback. The position bridges research and engineering, supporting cutting-edge work in MoE models, reinforcement learning, and post-training workflows.

NVIDIA PLN 292,500 – PLN 507,000 pa

Applied AI Architect, Education

This role involves serving as the senior technical advisor for education-sector customers, guiding institutions through the strategic adoption of OpenAI's technologies across teaching, research, and administration. The Applied AI Architect designs secure, scalable AI solutions tailored to academic environments, leading discovery, use-case development, and production deployment while navigating complex stakeholder landscapes and responsible AI practices.

OpenAI London, United Kingdom

Hybrid Permanent

Protection Scientist Engineer, Intelligence and Investigations

Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new and existing features. Investigate critical escalations involving sensitive content and collaborate with product, policy, and engineering teams to develop scalable safety solutions. Develop detection prototypes and improve automation using data science and machine learning techniques.

OpenAI London, United Kingdom

On-site Permanent

Manager, Forward Deployed Engineering

Lead and build Anthropic's first Forward Deployed Engineering team, guiding technical customer implementations of Claude while shaping best practices and product direction. This role combines hands-on technical oversight with team leadership, requiring experience in enterprise AI deployments and scaling engineering teams from the ground up. The manager will travel frequently to customer sites and act as a bridge between field experience and internal product development.

Anthropic London, United Kingdom

Head of Deal Desk - International

Lead and scale the Deal Desk function for Anthropic's international business across EMEA and APAC, overseeing complex deal structuring, pricing, and approvals while ensuring alignment with global standards. Build and manage a team of three, acting as the bridge between sales and internal functions like Legal, Finance, and Revenue Operations to enable clean, bookable deals. Establish operating models, tooling, and metrics to support rapid international growth in a high-ambiguity environment.

Anthropic London, United Kingdom £285,000 pa

Expression of Interest: Next-generation Agentic Controls and Forensics (Technical Roles)

This role involves developing technical frameworks for agentic incident response, controls, and forensics in advanced AI systems. You'll work on scalable approaches to monitor, detect, and respond to risks from next-generation AI agents, leveraging pre-release access to frontier models and compute resources. The position offers high autonomy, collaboration with global AI experts, and direct influence on AI governance and security policy.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa

Software Engineer (all levels) - Core Technology

This role involves developing and maintaining research-oriented software and infrastructure for evaluating frontier AI models, contributing to open-source projects like Inspect, and supporting high-impact research with real-world governance implications. Engineers work closely with world-class researchers and technical leads, building scalable systems for AI evaluation, model hosting, and agentic testing in a mission-driven environment. The role emphasizes technical excellence, collaboration, and autonomy in solving novel problems at the intersection of AI and security.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa

Hybrid Permanent Clearance Required

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on reliability, performance optimization, and debugging across hardware, networking, and training dynamics. The engineer will run experiments to improve training efficiency, respond to incidents during model launches, and collaborate closely with research and systems teams. It’s a high-impact, operational role blending deep technical engineering with empirical research in a fast-paced, safety-focused AI environment.

Anthropic London, United Kingdom £260,000 – £630,000 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