Top Research Jobs in Edinburgh

Lead 6G radio protocol research and standardization, drive innovation in mobile communications, and develop pioneering intellectual property. Collaborate on system-level expertise and advocate for Nokia's technical leadership in international standards.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

As a Research Intern, you will contribute to original research in deep learning, design novel neural network architectures, and collaborate on projects with researchers.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

The Frontend Engineer will implement UI features, automate UI testing, and oversee production releases while focusing on user experience in the blockchain space.

The Backend Engineer will implement new SDK and Indexer features, automate testing, support integration, and oversee production releases.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Account Executive will manage the sales process for corporate and enterprise markets, focusing on B2B SaaS sales in life sciences. Key tasks include prospecting, conducting demos, closing deals, and building relationships with decision-makers, aiming to achieve sales targets.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

As a Staff ML Research Scientist, you will develop advanced ML models for drug discovery, integrating them into products and mentoring junior researchers.

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.