Latest leader Jobs

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include technical advisory, hands-on training, prototyping, and translating research needs into engineering feedback.

NVIDIA United Kingdom

Senior Solutions Architect, Higher Education and Research

This role involves partnering with academic and research institutions to advance the use of NVIDIA's accelerated computing and AI technologies. The Solutions Architect will guide researchers in integrating NVIDIA's software stack and hardware platforms into high-impact scientific projects, deliver technical training, and translate research needs into product feedback. The position requires deep expertise in multimodal AI, robotics, and large-scale GPU systems, with a strong emphasis on collaboration, prototyping, and thought leadership in the research community.

NVIDIA United Kingdom

Legal Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact AI research projects with leading legal and technical experts, focusing on evaluating and improving generative AI systems in legal domains such as compliance, litigation, and contract analysis. Fellows contribute to real-world scenarios, provide regulatory and legal feedback, and co-author research publications. The position offers flexible, remote engagement within an interdisciplinary network advancing human-centered AI.

Scale AI United Kingdom

Remote Freelance Flexible

Medical Fellow - Human Frontier Collective (UK)

This role involves applying clinical expertise to evaluate and shape advanced generative AI systems in healthcare contexts. Fellows will design clinical scenarios, assess AI decision-making for safety and accuracy, and contribute to research publications. The position emphasizes interdisciplinary collaboration, structured feedback, and advancing human-centered AI in real-world medical applications.

Scale AI United Kingdom

Remote Freelance Flexible

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-first drug discovery platforms by designing risk frameworks, protecting ML model artifacts, and implementing security controls across distributed training and inference systems. The engineer will lead AI-specific incident response, develop guardrails for LLMs and autonomous agents, and ensure compliance with global regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into the full AI lifecycle while advancing AI safety standards.

Isomorphic Labs United Kingdom

Hybrid Permanent

Director of Nonclinical Safety, Cambridge, MA

Lead the development and execution of nonclinical safety strategies for small molecule and biologic drug candidates in an AI-driven drug discovery environment. Pioneer the integration of artificial intelligence into toxicology assessment, build a scalable safety function, and collaborate across interdisciplinary teams to de-risk clinical translation. Represent the company in regulatory interactions with health authorities and help validate AI-generated safety models for regulatory acceptance.

Isomorphic Labs Cambridge, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireLead Data Scientist /Deep Learning PractitionerAbout this roleOur Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a...

Capital One Mansfield, Nottinghamshire, United Kingdom

Lead Data Scientist /Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional data sources such as text and time series. Design and implement neural networks (e.g., LSTMs, Transformers) to extract predictive features and translate R&D into production solutions. Collaborate with stakeholders and mentor junior data scientists in a hybrid-working environment.

Capital One Nottingham, Nottinghamshire, United Kingdom