Top Research Jobs in London

Conduct research using machine learning techniques to develop investment strategies, leveraging extensive data and computational resources.

The role focuses on using advanced statistical and ML techniques to analyze financial market data and generate predictive insights.

As a Platform Engineer, you'll build and operate distributed analytics platforms, collaborate with teams to enhance capabilities, and drive improvements in automation and observability.

The Talent Sourcer will identify and engage technical talent, build candidate pipelines, attend networking events, and support the hiring process.

As a Quantitative Developer, you will engineer high-quality software, collaborate with researchers on trading and modeling systems, and optimize performance in financial markets.

Provide technical application support for TIBCO, managing incidents and changes, creating documentation, and applying service improvement principles.

Act as the primary contact for suppliers, ensuring effective communication and performance management while supporting the Supplier Account Manager.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

The Senior Clinical Research Associate is responsible for ensuring data integrity and compliance with protocols in oncology trials, managing monitoring activities and collaborating with site personnel.

As a Research Engineer, you will develop and optimize AI models for drug discovery, collaborating with scientists to advance ML applications in biopharmaceuticals.

The Research Analyst will support the International Arbitration practice through data analysis, economic and financial modelling, and project team collaboration on international disputes.

Research Analyst will apply economic theories and quantitative methods to solve problems, conduct statistical analyses, and create models while collaborating with senior consultants.

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.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

Manage and maintain QRT's network infrastructure and automations. Responsibilities include incident resolution, developing monitoring tools, and supporting network automation.

Develop and enhance high throughput, Linux-based services within a core pricing and risk platform. Collaborate with traders and quants, focusing on low latency and distributed systems in C++ and Python.

Join the Infrastructure Database team to manage and optimize ClickHouse databases, ensuring reliability, performance and supporting scalable data infrastructure for research and trading activities.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

Design, implement, and optimize ultra-low-latency C++ systems for trading and market data. Profile and tune CPU, cache, and memory performance, collaborate with FPGA and hardware teams, and integrate network and kernel-level optimizations to minimize latency in live trading environments.

As a Senior DevOps Engineer, you will design and operate scalable infrastructure, maintain CI/CD pipelines, optimize container environments, and collaborate with teams to deliver technical solutions.

Join Qube Research & Technologies as a Network Engineer responsible for designing large-scale datacentre networks, ensuring high-performance connectivity, and collaborating with teams to enhance infrastructure and troubleshooting.

Provide high-level EA support to senior leaders including complex diary and inbox management, international travel coordination, meeting preparation, presentation/document review, expense processing, and stakeholder liaison. Support leadership meetings, off-sites, events, and collaborate with the EA team to improve processes and ensure seamless coverage while handling confidential information with discretion.

The role involves creating predictive crypto trading signals, monitoring strategies, analyzing data sets, and collaborating with researchers.

As a Quantitative Developer intern, you will work on engineering solutions for quantitative research and trading, focusing on infrastructure, low-latency systems, and tool development.