Top Research Jobs in Edinburgh

Lead AI and ML research for cybersecurity, focusing on mechanistic explainability and novel architectures, while mentoring junior researchers.

As an Associate in CDO Data Governance, you will manage data quality initiatives, engage stakeholders, analyze data, and support data ownership across Markets.

Develop bioinformatics tools for drug discovery, manage multimodal data, implement algorithms, collaborate with teams, and present findings.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

As a Research Intern at Cohere, you will conduct machine learning research, build and train large language models, and contribute to innovative projects.

As a Research Scholar, you will collaborate on innovative machine learning projects, contribute to scholarship, and push the boundaries of AI research.

Develop a toolset for tokenomics research, incorporating AI and game-theoretic methods, overseeing experiment management and maintaining computational infrastructure.

The Applied ML Research Engineer will develop innovative ML solutions, apply Bayesian techniques to real-world problems, and contribute to research in machine learning theory.

The Research Scientist will investigate complex research questions using AI, develop innovative solutions, and create evaluations ensuring trustworthy information.

The AI Research Scientist II conducts advanced research in AI, collaborates with teams, contributes to publications, and influences product development.

Lead a team of researchers to shape strategic research vision, build collaborative teams, and enhance understanding of user insights for product and business decisions.

Conduct research in natural language processing while developing advanced semantic systems. Collaborate on projects optimized for AI and embedding mechanisms.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

The Research Specialist will source early-stage Web3 projects, evaluate their potential, and maintain a discovery tracker, collaborating with teams to meet KPIs.

The Research Specialist will scout Web2 startups, analyze trends, maintain a pipeline of leads, and collaborate with teams to onboard qualified projects into Seedify's ecosystem.

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 Senior Research Analyst will produce premium research on crypto, lead initiatives, develop valuation frameworks, and build industry relationships while mentoring team members.

The Machine Learning Engineer will implement and maintain LLM systems, optimize model performance, develop ML pipelines, and support educational AI research.

The Principal Software Architect will lead architecture and design efforts for GPU Networking in AI workloads, focusing on technological innovation in AI data centers, performance optimization, and strategic partnerships.