Top Research Jobs in London

Support cross-functional strategic and technology projects across research, AI/LLM initiatives, and internal tooling. Build lightweight data tools and automation, assist coding and workflow optimizations, prepare executive analyses, and coordinate multi-stakeholder initiatives.

Design and develop scalable frontend applications using React and TypeScript, optimizing performance and collaborating with stakeholders to deliver high-quality user interfaces.

Support day-to-day operations of on-prem compute infrastructure, handle diagnostics, troubleshoot Linux systems, and participate in maintenance activities for HPC and Kubernetes environments.

Lead design, execution and communication of qualitative and quantitative customer research across EMEA. Manage surveys, focus groups and panels, synthesize insights, deliver actionable recommendations to brand, marketing and merchandising teams, collaborate with global insights, and support evolution of customer insights capabilities.

Support cohort studies by performing manual data entry, data cleaning, and basic analyses; contribute to internal reports and slide decks; test surveys; and assist with study maintenance and reporting tasks.

Conduct fundamental equity research on the global energy/basic resources sector: build financial models, produce research reports and investable theses, perform macro and company due diligence, engage institutional clients, arrange company visits, attend conferences, track events and earnings, make investment recommendations, and ensure compliance with applicable regulations and internal policies.

Join the Industrials equity research team to support the lead analyst with financial modelling, idea generation, written research, presentations, data sourcing, market monitoring, and client interaction, collaborating with Investment Banking and Corporate Broking to grow the franchise.

Lead day-to-day delivery and retention for a portfolio of client programmes (typically £100k-£700k). Manage project finances, processes, and project cycles; partner with clients and directors to ensure resourcing, profitability, retention, and satisfaction. Mentor junior team members, drive QBR standards and create actionable insights from mystery shopping, audits and channel performance data. Champion process improvements and personal development while modelling Ipsos behaviours.

Conduct qualitative and quantitative research on international legal markets via interviews and data analysis, compile practitioner rankings, write concise findings, identify legal market trends, generate research leads, and help evolve research methodology using AI tools. Role includes domestic and international research travel and collaboration with a global research team.

Lead dermatology product innovation from insight to commercialization: build opportunity pipelines, assess scientific and regulatory feasibility, drive formulation and claims strategies, manage consumer validation and product evaluation, and provide R&D scientific leadership across cross-functional global teams to support launches and stage-gate decisions.

Lead research and engineering to design, implement, and deploy reinforcement learning and post-training methods that align large (multi-modal) models with human intent. Build scalable RL pipelines, run reproducible experiments from prototype to production, collaborate with engineering, ML platform, and HPC teams, and foster academic and industrial partnerships.

Lead site performance and compliance for assigned clinical protocols, conduct initiation/monitoring/close-out visits (onsite and remote), ensure ICH/GCP and regulatory adherence, manage site documentation in CTMS/eTMF, mentor junior CRAs, expand and qualify new sites, collaborate with cross-functional teams, support audits/inspections, and drive continuous process improvement.

Lead metals market analytics and research, developing market intelligence, supply/demand models, scenarios and data-driven insights. Produce client-facing notes, presentations and calls; perform original research and data mining; document processes; collaborate with global analysts, data analytics and product teams; support ad hoc analysis and business development.

Train and post-train LLMs using SFT/RLHF/DPO, build reward models and large-scale data pipelines, run distributed multi-GPU training, design evaluation benchmarks, and optimize models for production inference and serving.

Provide high-level executive support to the CEO: manage complex global calendar, coordinate committee and board materials, liaise with senior stakeholders, organise events and international travel, handle routine finance and contract tasks, support cross-functional initiatives, and provide EA team cross-coverage.

Develop and manage the Academy's legal training portfolio: research and produce courses, manage full course lifecycle, recruit and liaise with faculty, create storyboards and multimedia learning, maintain LMS learner experience, manage project plans and timelines, and write marketing copy to support commercial growth.

As an Observability Engineer, you'll design systems for telemetry management, build scalable pipelines, and contribute to industry observability standards. Responsibilities include extending OpenTelemetry and enhancing incident response with telemetry data.

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.

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.

The role involves developing an ML research and deployment pipeline, implementing best practices in model and feature management, and ensuring robustness in production through effective solutions and collaboration.

As a Senior CSIRT Analyst, you will investigate security incidents, respond to threats, mentor junior analysts, and improve detection capabilities using cloud security tools.

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

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