Top Research Jobs in London

Support brand research client accounts by managing day-to-day client communication, contributing to survey design and project execution, tracking project financials and time, learning pricing and statements of work, using tools like SPSS and Survey Reporter, and driving client satisfaction while coordinating with senior team members.

Sell sponsorship and exhibition packages for Centellic's international legal tech events portfolio. Own the full sales cycle—prospecting, pitching, negotiating and closing against personal revenue targets—while building senior relationships, identifying upsell and multi-event opportunities, representing Centellic at industry events, keeping CRM accurate, partnering with internal teams to ensure flawless delivery, and mentoring junior BDMs.

Lead and mentor an equity research team, oversee end-to-end project delivery, manage client relationships, drive client satisfaction and retention, refine processes for operational excellence, and collaborate with senior leadership on research priorities and resource allocation.

PhD graduate embedded in a quantitative research team to develop, implement and test systematic investment strategies. Analyse large financial datasets, design statistical models in Python, document results, and present findings to senior researchers and portfolio managers.

Produce investment-ready sustainability research at company, sector, and thematic levels to inform investment decisions. Build company coverage using alternative datasets, contribute to thematic engagement and investment theses (including financial models), produce thought leadership, and engage external experts and data providers to support the Stewardship & Sustainability agenda.

Design and develop novel machine learning models and training algorithms for drug discovery. Lead and run research projects, implement and scale training/inference frameworks, analyze experiments, and collaborate across disciplines. Mentor and provide technical guidance to other ML researchers and contribute to research direction and presentations.

Manage 4–5 healthcare market research projects concurrently, act as primary client contact, prepare and present client deliverables, support proposal writing, train and manage junior staff, and implement daily project activities using qualitative and quantitative methods.

Design and implement post-training pipelines for biological foundation models, ensuring alignment with therapeutic contexts and delivering value through rigorous experimentation and collaboration with ML and biology teams.

The Research Engineer will develop innovative generative 3D machine learning methods, train and optimize models, and refine 3D content generation processes, focusing on geometric accuracy and integrating physics-aware capabilities.

As a 3D Graphics & Rendering Engineer, you'll design and optimize synthetic datasets for 3D models, enhance rendering pipelines, and collaborate with research teams.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

Develop and maintain SFT and RL post-training pipelines for multi-step coding agents, train and adapt LLMs for agent workflows, build evaluation and simulation environments, design metrics and evaluation frameworks, analyze results to improve models and datasets, and collaborate with research, product, and infra teams to ship models into JetBrains IDEs.

Ship AI product features combining engineering and ML; build and improve agent workflows; optimize latency, cost, and reliability; track AI research and turn it into product; build self-improving loops that run experiments and learn from feedback.

Design, train, and deploy large language models from scratch; convert business requirements into technical specs; collect and process pretraining/fine-tuning datasets; run distributed training on large GPU clusters; support and improve production ML subsystems and tooling.

Manage medium-to-large secondary and digital analytics research projects using media monitoring and social listening tools. Analyze quantitative and qualitative media data, identify influencers and trends, benchmark competitors, produce actionable insights and strategic recommendations, write and present client-facing reports, manage client relationships, mentor junior analysts, and support proposals, project management and resource planning.

The Manager, Global Promo & Market Research oversees sourcing activities for the Promo & Market Research category, developing global strategies and ensuring stakeholder alignment while managing supplier relationships and delivering financial benefits.

Lead and shape the Adversary Emulation (internal Red Team) programme: plan and run complex offensive security operations, provide technical leadership and stakeholder reporting, develop tooling and team capabilities, and coach team members to improve organisational security outcomes.

Lead the Strategic Planning Office to define and execute long-term strategy, own the three-year plan and AOP, set and track OKRs, drive governance and QBRs, advise senior leadership, and build a high-performing strategic planning function that improves organisational effectiveness using data and emerging technologies.

Manage 4–5 concurrent healthcare market research projects, serve as client contact, prepare and present client deliverables, support proposal writing, and mentor junior staff. Use qualitative and quantitative methods and emerging technologies to deliver insights, while meeting tight deadlines and ensuring high accuracy and organization.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Lead research and prototyping of transformer-based models for retail challenges, design novel architectures, build research-grade prototypes, support productionisation, mentor data scientists, and partner with engineering, product, and academic collaborators to embed generative, multimodal, and representation-learning advances into scalable solutions.

Design and develop scalable reference-data services, automate lifecycle events, build/internal and external reporting (real-time and batch), collaborate with research and execution teams, maintain CI/CD and automated testing, and integrate Python and C# components to support trading and research workflows.

Develop scalable cloud-native platforms for real-time tick data. Collaborate with researchers, architect systems, and build distributed data architectures.

Interns will design, build, and manage data solutions supporting trading operations, collaborating closely with Traders, Researchers, and Engineers in a high-performance environment.

Manage and evolve Linux platforms for global trading, lead automation frameworks, ensure performance, and support build/release management.