Top Research Jobs in London

As a DevSecOps Engineer, you'll design, implement, and operate security services, maintain secure software platforms, troubleshoot issues, and enhance security practices while supporting engineering teams.

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

The Market Research Associate recruits respondents for projects, manages panel engagement, and maintains communication with members, ensuring project delivery and data quality.

Support the entire recruitment cycle for interns and graduates, manage candidate experiences, develop relations with hiring managers, and attend campus events.

Design and build full-stack features for research tooling, manage CI/CD pipelines, ensure code quality, and collaborate with researchers and engineers.

The role involves developing impactful research on digital assets, client engagement through insights, and contributing to product development and market analysis.

Design and develop libraries, APIs, and services to support the HPC Research Platform, focusing on large-scale compute pipelines and collaboration with quantitative researchers.

The role involves gathering and disseminating transactional data, managing data quality, supporting clients, and evolving with CMG's product offerings.

The Senior Equity Research Analyst will focus on the Banks sector, conducting in-depth research, financial modeling, and providing recommendations to enhance portfolio performance.

The Equity Research Analyst will generate investment ideas, conduct due diligence, and monitor positions in the industrials sector, collaborating closely with management and data science teams.

The AI Research Scientist will conduct research, develop ML models, lead projects, and explore new data sources to enhance AI techniques.

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.

The Research Scientist intern will conduct research in causal inference and machine learning, analyze data, develop methodologies, and collaborate across teams to enhance Spotify's products.

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

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.

The role involves leading the design and optimisation of large molecule therapeutics using AI/ML, coordinating projects, and collaborating with interdisciplinary teams.

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

The MarTech Research & Insights Specialist leads evaluation and governance of marketing platforms, aligns technical capabilities with marketing needs, manages vendor relationships, and drives innovation in data-driven marketing strategies.

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.

Lead and conduct penetration tests and vulnerability assessments, delivering remediation advice, mentoring team members, and improving security controls.