Top Research Jobs in London

Conduct site monitoring visits, manage site relationships, ensure compliance with protocols, and evaluate trial data integrity in clinical research.

As a Senior AI Research Engineer, you'll focus on advancing AI technologies for legal workflows, leading research projects, collaborating with cross-functional teams, and developing prototypes for legal applications.

Conduct groundbreaking research in music generation, run experiments, create applications, collaborate within a team, and engage with the research community.

Conduct research in music generation, run large-scale experiments, create applications leveraging generative technologies, and collaborate with cross-functional teams to impact Spotify's products.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

Support the research team in developing new investment strategies and distribution-oriented research, enhancing WisdomTree's quantitative capabilities.

Lead innovation in experimentation and causal inference, mentoring data scientists, driving research, and collaborating on data-driven decision-making.

The role involves automating data centre processes, integrating vendor APIs, and collaborating with engineering teams to enhance a high-performance research platform.

Manage and deliver multiple infrastructure projects, oversee project planning, coordination with stakeholders, and ensure timely completion while maintaining quality standards.

The Catastrophe Research Manager leads a team to develop AIG's risk assessments for natural catastrophes and oversees model validation, climate-related analysis, and collaboration across departments.

The Trading Systems Support Analyst provides support for OMS and market data systems, works with traders, enhances Python frameworks, and manages system health reporting.

The role involves collaborating with various teams to design and implement storage solutions, maintain vendor relationships, and develop data backup strategies.

Design and implement post-training pipelines for biological foundation models, ensuring alignment with therapeutic contexts and delivering value through rigorous experimentation and collaboration with ML and biology teams.

The Equity Research Analyst will generate investment ideas, conduct due diligence, monitor positions in consumer discretionary, and communicate with management and experts.

The Staff Engineer will lead the development of technical infrastructure, manage AWS cloud operations, design database systems, and build production APIs. This role requires strong expertise in distributed systems and data pipelines.

As a Research Co-Founder, you'll lead the scientific and machine learning core, architecting systems for biomedical research and managing evidence extraction frameworks.

The Project Director leads the Project Management department, defining strategic vision, overseeing operational excellence, and ensuring profitability and client satisfaction across global market research projects in healthcare.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

The Production Software Engineer ensures system resilience and operational efficiency, focusing on deployment automation, observability, and collaboration across engineering teams.

The Research Engineer will develop innovative generative 3D machine learning methods, train and optimize models, and refine 3D content generation processes, focusing on geometric accuracy and integrating physics-aware capabilities.

As a 3D Graphics & Rendering Engineer, you'll design and optimize synthetic datasets for 3D models, enhance rendering pipelines, and collaborate with research teams.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

Design and develop novel machine learning models and training algorithms for drug discovery. Lead and run research projects, implement and scale training/inference frameworks, analyze experiments, and collaborate across disciplines. Mentor and provide technical guidance to other ML researchers and contribute to research direction and presentations.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.