Top Research Jobs in London

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

Design and support software infrastructure for trading signal research. Collaborate with researchers to optimize trading strategies using advanced algorithms and large datasets.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

Lead integration of exchange market data feeds and applications, manage infrastructure provisioning, and coordinate with teams for deployment and compliance.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

As a Data Scientist, you will collaborate with trading and engineering teams to design data pipelines, onboard datasets, and innovate data extraction methods for investment decisions.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

Develop and maintain HPC platforms, optimize workload scheduling, improve performance, and support team development in a collaborative environment.

Join Research Partnership's Talent Community for future roles in healthcare market research. Candidates will receive updates on job openings and company culture.

As a Senior Research Consultant, you will advise clients on market research processes, manage projects, and interpret results for various research projects.

The Quantitative Research Engineer will build and maintain research tools, validate trading strategies, and assist in trade execution and analytics for a hedge fund.

As a Senior Research Engineer, you will lead the development of conversational AI models, improve core capabilities, and manage research projects from prototype to production.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

Join the development team at QRT to build and enhance low-latency applications, collaborating with various teams to design systems for electronic trading.

Analyze network and exchange protocols, automate performance metrics, and optimize high-frequency trading infrastructure for improved trading operations.

This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

The Research Engineer will research, test, and deploy trading strategies, build research infrastructure, and collaborate on trading ideas while implementing solutions in Python and C++.

Lead design, development, and deployment of scalable ML models and pipelines (including LLMs) across the platform. Own full ML lifecycle, influence technical direction, communicate results to stakeholders, and mentor junior engineers.

Lead design and delivery of production ML solutions across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring. Partner with product and engineering to build classifiers, regressors, ranking/retrieval systems and rule-based components, implement reliable pipelines, improve reproducibility/testing/observability, and communicate model behavior and trade-offs to stakeholders while shaping team standards and responsible ML practices.

The AI Research Engineer will lead independent research in AI methodologies, design evaluation frameworks, conduct experiments, mentor team members, and publish findings to advance the AI field.

As a Research Intern, you will contribute to original research in deep learning, design novel neural network architectures, and collaborate on projects with researchers.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The intern will collaborate on AI development, utilize big data for problem solving, and publish research in top conferences.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.