Top Research Jobs in London

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The role requires leveraging financial knowledge and analytical skills to develop mathematical models predicting financial market movements, utilizing strong quantitative and computing skills in research.

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

The role involves developing and optimizing machine learning models and collaborating on research projects with quantitative researchers.

Join as a Database Platform Engineer to design, build, and operate critical database platforms, ensuring high availability and performance in a collaborative environment.

G-Research seeks a Quantitative Researcher to use machine learning and statistical methods to analyze global financial markets. A Master's or PhD in a quantitative field is preferred, but prior finance experience is not necessary.

As a Software Engineer, you will develop solutions for a cutting-edge trading system, enhance a petabyte-scale data platform, and apply engineering best practices.

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

The role involves developing machine learning models, optimising system performance, and collaborating with diverse teams on innovative projects.

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

As a Machine Learning Performance Engineer, you'll optimize large-scale workloads across GPU and CPU infrastructure, collaborating with researchers and engineers to improve performance and capabilities of research workloads.

The People Operations Coordinator manages the employee lifecycle, HR services, and systems to ensure smooth operations and supports visa processes.

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

The Research Actuary will lead projects in the UK Actuarial Research team, focusing on pricing assumptions, statistical analysis, and enhancing knowledge in mortality and morbidity products. Responsibilities include model development, risk assessment, and contributing to marketing efforts.

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

The Network Engineer will architect and manage the network infrastructure at QRT, focusing on colocation and delivering high-performance, low-latency network solutions while collaborating with project management teams.

Deliver behavioural insights projects including scoping, behavioural diagnosis, intervention and trial design, qualitative and quantitative analysis, reporting and dissemination. Conduct user-centred research, design and run evaluations (e.g. RCTs), build stakeholder relationships, present findings, run workshops, and advise on policy and behaviour-change interventions.

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 Technology Research Analyst will conduct research on technologies, author reports, engage with stakeholders, and support business development activities.

The Senior Research HPC Engineer will enhance AI performance through optimizing GPU clusters, model training, and low-latency inference solutions while collaborating with researchers across various teams.

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

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.

As a Research Intern, you'll work with machine learning experts to apply statistical methods to real-world finance problems, develop models, and implement software solutions.

The role involves selling syndicated research subscriptions, developing client relationships, and building a sales pipeline in the telecoms and technology markets.