Top Research Jobs in London

The Quantitative Research Manager leads research to improve trading systems, develop new trading signals, and manage an alpha generating portfolio. Responsibilities include collaborative team research and effective communication across departments.

The AI/ML Quantitative Research Manager leads research efforts in quantitative strategies, develops AI/ML models for trading signals, and collaborates with internal teams to enhance trading systems.

This internship focuses on research in programming languages and compilers, particularly OCaml. Interns will work on compiler projects, improving performance and usability, collaborating with mentors over 10-12 weeks.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

The role involves managing and improving the Network Infrastructure team's documentation and process library, ensuring clarity and consistency in workflows.

The role involves developing a derivatives pricing library, collaborating with traders and supporting model integration into pricing systems.

Manage and cost fieldwork and data collection for multi-market healthcare market research projects, coordinate suppliers and timelines, oversee deliverables (quant/qual), handle invoices, SOWs, pharmacovigilance/AE reporting, and drive operational improvements within departmental Pillars.

Conduct sector-focused equity research, prepare monthly stock pitches with detailed valuations and trading-multiples analysis, and produce written research reports to support the fund's investment decisions while collaborating with the analyst team.

Support Vice-President and analyst team by researching and pitching equities, leading teams and meetings, building detailed valuation models (DCF, DDM, RIM), and producing research reports to articulate investment ideas.

Short-term (3-6 month) R&D internship to develop and validate hyperspectral imaging algorithms and low-latency image processing tools, design and integrate intraoperative imaging systems, and execute validation tests using phantom models, ex-vivo and in-vivo experiments supporting a regulatory-cleared surgical imaging platform.

Design, develop, test, and maintain scalable R Shiny applications for clinical data review, visualization, QC, and reporting. Build reusable modules and utilities (R, SAS, Python), integrate cloud data sources, validate to regulatory/GxP standards, optimize performance, perform testing, and support study teams.

Provides pathology subject-matter expertise for biomarker discovery, companion diagnostics, digital and molecular pathology, and translational research programs. Reviews literature and pathology standards, develops annotation guidelines, performs or reviews digital slide annotations, and quality-checks human- and algorithm-generated outputs. Guides AI/ML model design, training, validation, and interpretation while collaborating with pathology, histotechnology, data science, and client teams to ensure clinically meaningful and scientifically rigorous results.

Six-month PhD internship on the Central Execution Desk performing execution research: analyzing market microstructure, building simulation and analytics tools, designing and evaluating models, and working with large noisy datasets to support trading and execution decisions.

Develop and deploy AI-powered applications, agents, and integrations for HFT. Evaluate models and tooling, build agentic workflows, integrate AI with internal systems, and collaborate with research and trading teams to deliver production-grade AI solutions and best practices.

Perform high-quality breast ultrasound examinations for a clinical research study, independently interpret and report findings to an eCRF, pass study-specific qualification, follow study SOPs, maintain equipment QA logs, and collaborate with the multidisciplinary research team and principal investigator.

Seeking a Staff or Principal Research Scientist to develop cutting-edge AI models and systems, with a strong emphasis on experimental design and full-stack research ownership.

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 statistician for complex clinical studies from protocol/SAP planning through reporting; develop sample size, modeling, adaptive/Bayesian designs; oversee statistical deliverables (SAPs, randomization, CSR contributions), advise on regulatory strategy, manage biostatistics projects and budgets, support BD and DSMB/DMC activities. Travel ~20%.

As an ML Research Engineer/Scientist, you'll develop machine learning models for Boltz Lab, collaborating with ML researchers and domain experts in chemistry and biology to enhance drug discovery processes.

Lead and deliver high-value life sciences consulting projects, win new business, develop teams, run complex workshops, provide strategic recommendations, and engage externally to drive client impact and firm growth.

As a Consultant, you will lead client projects, drive business development, guide teams, and partner with clients to enhance healthcare solutions.

As an AI Engineer, you will develop and maintain AI platforms and SDKs, deliver workflows for research, define best practices, and embed in business teams to explore new AI opportunities.

As a Software Engineer, you'll transform systems, design high-performance distributed systems, and contribute to engineering growth and success.