Top Research Jobs in London

Lead development and global rollout of a machine learning research framework for training, evaluating, combining, and deploying trading models. Partner with quantitative researchers to test hypotheses, develop systematic trading strategies, and create alpha signals. Build end-to-end machine learning pipelines covering data preprocessing, model training, production deployment, and monitoring while applying modern software engineering, cloud, containerization, and MLOps practices.

Develop and deploy signal processing algorithms for radar-based contactless monitoring systems. Responsibilities include extracting clinical features from sensor data, validating algorithms using clinical studies, documenting work for regulatory and intellectual property needs, and implementing algorithms on embedded devices. The role collaborates with product, clinical research, data science, electronics, firmware, and algorithms teams to move innovations from research into shipped healthcare products.

Design and validate threat models for agentic AI systems, create adversarial experiments and synthetic environments, develop static and dynamic risk analysis, fine-tune and evaluate models, and build production-ready guardrails, monitoring, dashboards, and evaluation infrastructure. Optimize security systems for latency, cost, reliability, and measurable real-world performance while translating research into product capabilities.

Own and operate Centellic’s enterprise finance application ecosystem, including support, incident management, integrations, access controls, compliance, change management, disaster recovery, vendor relationships, licensing, and service improvement. Coordinate Finance, IT, CRM, suppliers, and technical teams to maintain reliable, secure, governed, and supportable finance platforms. Contribute to automation, roadmap planning, upgrades, and operational readiness.

Conduct basic science research on neurodegeneration and multiple sclerosis, focusing on mitochondrial function and mitochondrial DNA at the single-cell level in animal brain tissue. Collaborate with researchers at University College London and the Dementia Research Institute, contribute to laboratory research, and work with a balance of supervised tasks and independent initiative.

Recruits Dutch-speaking market research respondents, schedules interviews, builds and engages research panels, supports members by phone and email, investigates inquiries and fraud, verifies registrations, tests project links, and reports recruitment progress to project management teams.

Research and develop methods for detecting misalignment and loss-of-control risks in frontier AI systems. Build alignment evaluations, conduct pre-deployment testing, analyze model behavior, investigate incidents, and communicate findings to AI companies and governments. The role also involves designing evaluation software and tooling, publishing technical research, threat modeling, and mentoring collaborators. Candidates need substantial AI safety or alignment research experience, strong Python and machine learning engineering skills, and experience with frameworks such as PyTorch or Inspect.

Research Engineer developing AI safety methods focused on human influence. Responsibilities include fine-tuning and post-training LLMs with reinforcement learning, building scalable evaluation and benchmarking pipelines, designing RL environments, applying interpretability techniques, deploying containerized ML systems, and conducting engineering-heavy research on large compute clusters.

Design, build, and optimize scalable software platforms supporting quantitative research and financial trading. Responsibilities include developing trading systems, modeling and simulation frameworks, research tools, machine-learning infrastructure, and high-performance distributed systems. The role involves collaborating with quantitative researchers, owning solutions end to end, applying strong software fundamentals, improving scalability and performance, and evaluating emerging technologies.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Conduct frontier applied research on efficient AI model architectures, including sparse attention, long-context memory, selective computation, dynamic inference, reasoning, and continual adaptation. Formulate research questions, design rigorous experiments at meaningful scales, develop efficient implementations, publish findings, contribute to open-source tools and models, mentor researchers, and help direct the research stream.

Leads the College of Medicine and Health research support team, overseeing pre-award support, research development, proposal drafting, budgeting, compliance, due diligence, grant setup, and contract negotiation. The role manages approximately 25 professionals, develops research-support processes, monitors performance, leads strategic partnerships, supports complex agreements, and promotes staff development, equality, and continuous service improvement across the University.

Designs and implements secure, scalable AWS architectures supporting quantitative research and large-scale data analysis. Collaborates with researchers, developers, and data scientists; automates infrastructure deployment and monitoring; optimizes performance, availability, reliability, and cost; troubleshoots complex cloud environments; and promotes AWS best practices across the specialist team.

Lead credit research for an EMEA portfolio across non-financial investment-grade and high-yield sectors. Generate investment ideas, conduct fundamental and relative-value analysis, build financial models, produce written research, advise portfolio managers, monitor credit risks and sector developments, and occasionally interact with clients. The role requires independent sector ownership, strong judgment, communication skills, numeracy, and the ability to prioritize competing demands.

Own Apollo Research’s security program as its first dedicated security hire. Responsibilities include setting security strategy, managing cloud, endpoint, identity, and email security, automating security operations, leading ISO 27001 and SOC 2 certification, administering Google Workspace, and serving as the primary security contact for AI lab partners. The role combines hands-on engineering, governance, stakeholder management, and security leadership while supporting the organization’s AI safety mission.

Support global fixed income index research by analyzing large datasets, building quantitative models, managing client projects, maintaining index operations, evaluating performance and market trends, and producing visualizations and reports to inform strategic product decisions.

Build AI/ML-driven analytics and automation for CIB Treasury, Securities Services and Payments. Develop scalable data architecture, automate manual processes, create sequential decision-making tools to optimize net interest income, drive projects end-to-end from prototype to production, present commercial recommendations to stakeholders, and collaborate across Quant Research, Treasury, CIO, Technology and CDAO.

Design, develop and optimize a large-scale Monte Carlo engine for CVA/FVA calculations; implement numerical techniques for efficiency; build production-grade analytics; collaborate with traders, risk managers and tech teams; drive software engineering best practices.

Lead execution research and transaction cost analysis to inform algorithm roadmap. Build and govern TCA frameworks, run market-microstructure research and A/B tests, develop pre- and post-trade models, translate findings into production features, and partner with Product, Trading, and Technology while mentoring junior researchers.

Develops, validates, and supports R Shiny applications and reusable programming utilities for clinical trial review, data visualization, statistical reporting, quality control, and regulatory submissions. Uses R, SAS, and Python while collaborating with biostatisticians, statistical programmers, data management, clinical operations, and IT. Ensures solutions meet GxP, Computer Software Assurance, testing, scalability, performance, and company standards.

Conduct world-leading interdisciplinary research within the Decisions Cluster of the Leverhulme Centre for Algorithmic Life, examining how AI and algorithmic technologies transform decision-making. Develop research and funding plans, collaborate across disciplines, contribute to knowledge exchange and the research environment, support postgraduate research students, and undertake academic administration and citizenship activities.

Supports clinical data science and management activities for clinical trials, including database development, eCRF and edit-check planning, user acceptance testing, external data coordination, risk assessment, documentation, study metrics, budget oversight, and compliance with SOPs. The role also coordinates data team activities, manages timelines, and communicates with internal teams and external vendors.

Own operational delivery for complex research customer projects, including participant acquisition, onboarding, verification, activation, quality monitoring, and supply development. Build project plans, workflows, playbooks, and scalable processes while optimizing participant funnels and operational metrics. Partner with product, data, science, and customer success teams to improve time-to-data, fill rates, participant quality, and customer outcomes across Prolific’s Research platform.

Conducts qualitative and quantitative research on technology partner ecosystems, alliances, marketplaces, channels, and go-to-market strategies across EMEA. Responsibilities include survey design, data analysis, executive interviews, market research, written thought leadership, consulting support, client presentations, webinars, and trend analysis involving AI and cloud ecosystems.

Conduct patient preference and health outcomes research for pharmaceutical and medical device clients. Responsibilities include literature reviews, study protocol development, choice experiment design, patient interviews, focus groups, qualitative coding, econometric analysis, scientific writing, project coordination, client meetings, and quality control.