Permanent Research Scientist Jobs in Edinburgh

3 of 3 Permanent Research Scientist Jobs in Edinburgh

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Edinburgh, Midlothian, United Kingdom
Amazon
to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to … the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. A day in the life As a Research Scientist, you will partner on design and development of AI-powered systems to scale job analyses enterprise-wide, match potential candidates to the jobs they'll be most … successful in, and conduct validation research for top-of-funnel AI-based evaluation tools. You'll have the opportunity to develop and implement novel research strategies using the latest technology and to build solutions while experiencing Amazon's customer-focused culture. The ideal scientist must have the ability to work with diverse groups of people and inter More ❯
Employment Type: Permanent
Salary: GBP Annual
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Principal AI Research Scientist - Natural Language Processing

Edinburgh, Midlothian, United Kingdom
Hybrid / WFH Options
NLP PEOPLE
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global … deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment … analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Research Scientist - Systems & AI Infrastructure

Edinburgh, Scotland, United Kingdom
Project People
We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research … following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU … NPU) for enhanced performance. Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences. Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key More ❯
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