Research Scientist

• Retrieve and analyse data.
• Construct charts and tables.
• Potentially play a junior role in producing research after proficiency is demonstrated.
• Gain exposure to all geographies and markets covered by Capital Economics.
• Attend internal training through the Graduate Training Scheme (GTS).

Research Assistant – Industrial Placement Year

• Provide scientific leadership across model evaluation and applied use cases
• Translate foundation models into impactful, real-world discovery workflows
• Ensure work addresses relevant challenges in drug development and translational research
• Serve as a key scientific partner to the research team
• Mentor and support junior colleagues
• Collaborate with Product and Business Development
• Turn cutting-edge biology and machine learning into customer-relevant deliverables
• Contribute leadership and strategy as the team scales

Principal Scientist – Comp. Bio, ML, Genomics

• Integrate novel hardware and software into experimental systems supporting OQC's quantum technology
• Turn system requirements into working prototypes that demonstrate new capabilities and reduce technical risk
• Characterise, calibrate and benchmark novel hardware, focusing on readout and reset operations
• Design, develop and run experimental procedures across integrated superconducting systems
• Use cryogenic and microwave measurements, automation and data analysis to understand and improve system performance
• Contribute to projects from experimental design and system build through analysis, reporting and recommendations
• Collaborate across quantum control and hardware teams to define requirements, resolve system-level challenges and improve device robustness
• Share technical knowledge and contribute to scientific publications, conferences and collaborative programmes

Applied Scientist, Computer Vision

• Develop new model architectures and methods in areas including efficient, sparse, and adaptive attention; long-context models and persistent memory; post-training transformation of pretrained models; selective computation and dynamic inference; and architectures for reasoning and continual adaptation
• Formulate original research questions and translate them into rigorous experimental programs
• Design and evaluate architectural changes at meaningful model scales
• Develop methods that preserve model quality while reducing training or inference cost
• Collaborate with engineering teams to validate ideas in efficient implementations
• Publish research and contribute to open-source models, methods, and tools
• Mentor researchers and help shape the research stream's direction

Senior Research Scientist – Architectures Research

• Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme
• Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging
• Design and prototype novel model architectures for multimodal medical imaging data
• Develop experimental systems to validate research hypotheses and measure progress against scientific goals
• Establish and maintain benchmarking frameworks across downstream clinical and technical tasks
• Collaborate with engineering teams to translate research advances into deployable solutions
• Lead scientific publications and conference contributions communicating DeepHealth research results
• Engage with external research collaborators, including Imperial College London partners
• Mentor researchers and contribute to research quality standards
• Document methods, experiments, and findings to support reproducibility, review, and knowledge transfer

Senior Research Scientist

• Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme
• Track and evaluate machine learning and generative AI developments relevant to radiology and multimodal imaging
• Design and prototype novel model architectures for multimodal medical imaging data
• Develop experimental systems to validate research hypotheses and measure progress against scientific goals
• Establish and maintain benchmarking frameworks across downstream clinical and technical tasks
• Collaborate with engineering teams to translate research advances into deployable solutions
• Lead scientific publications and conference contributions communicating DeepHealth research results
• Engage with external research collaborators, including Imperial College London partners
• Mentor researchers and contribute to research quality standards
• Document methods, experiments, and findings for reproducibility, review, and knowledge transfer

• Develop new spatial representations that embodied AI can learn from, train in, and act on
• Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning
• Solve emerging problems related to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems
• Take new capabilities through to evidence, measuring what changed for the policy, not only what changed in the reconstruction
• Build proof-of-concept prototypes for internal use, with some running at production scale on customer data
• Collaborate with researchers, engineers, and product partners to bring novel models to production
• Publish and present research work

Research Scientist, Embodied AI

• Drive development of a national youth thriving dataset spanning four surveys and thousands of young people
• Build and refine the US Youth Mental Health Tracker dataset and turn it into actionable insight
• Transform the YMHT platform from static dashboards into an interactive data-query interface
• Work with the Engineering team to build AI-driven prototypes enabling partners to interrogate YMHT independently
• Lead peer-reviewed manuscripts and validation papers
• Establish YMHT as a scientific authority in youth mental health
• Work alongside research leadership and domain experts on data, measurement, tooling, and rigorous analysis

• Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches
• Expand speech use cases for different markets and products
• Build and create models at scale to power the Spotify platform
• Champion research and development best practices and share knowledge with researchers within Speak
• Collaborate with engineering and data teams on new infrastructure and high-quality data
• Improve speech recognition and speech synthesis pipelines
• Turn proven ideas into scalable products
• Explore methods to improve quality, understanding, and realism of speech technology
• Develop production pipelines for generative conversational speech-to-speech models

Senior Applied Research Scientist – Personalization

• Develop and run seminars
• Develop and run knowledge exchange and research collaboration events
• Organise and deliver an annual conference
• Work with drug policy stakeholders, including people with lived and living experience of drug use

Research Scientist jobs in United Kingdom

Research Assistant – Industrial Placement Year

Principal Scientist – Comp. Bio, ML, Genomics

Applied Scientist, Computer Vision

Senior Research Scientist – Architectures Research

Senior Research Scientist

Senior Research Scientist

Research Scientist, Embodied AI

Senior Research Scientist

Senior Applied Research Scientist – Personalization

Research Assistant – Co-ordinator