Top Research Jobs in London

Lead and grow a product engineering team building Watcher, a coding-agent security product. Responsibilities include planning delivery, managing engineers, hiring, coordinating research and engineering handoffs, handling customer integrations, making architecture decisions, reviewing code, and shipping production code primarily in Python and TypeScript. This player-coach role also establishes engineering processes, protects team focus, and uses AI-assisted tools extensively.

Own customer deployments, integrations, technical evaluations, proofs of concept, and white-glove support for Watcher, a coding-agent security product. Build integrations with coding agents, SIEMs, identity systems, and CI/CD pipelines across cloud, on-premises, and self-hosted environments. Troubleshoot customer issues, tune security monitors, communicate with technical and security leaders, and convert recurring customer needs into reusable product capabilities, documentation, and deployment tooling.

Build and operate Watcher, a full-stack coding-agent security product. Develop backend APIs, ingestion and grading pipelines, agent hooks, CLI tooling, monitoring dashboards, enterprise integrations, and real-time blocking systems. Own features from customer discovery through production deployment, while ensuring reliability, scalability, tenant isolation, encryption, access controls, and flexible cloud, on-premises, and local deployments. Collaborate with customers and security teams to improve the product and productionize monitoring research.

Manage the operational backbone of Cartesia’s Voice function, supporting voice production, library health, talent sourcing, vendor logistics, and customer voice delivery. Build lightweight systems and automations, manage customer-facing engagements, enable go-to-market teams, and support strategy, events, marketing initiatives, and international growth projects. The role requires autonomous execution, executive communication, semi-technical system-building skills, and enthusiasm for AI voice technology.

Own the reliability, performance, resilience, observability, automation, and security of enterprise network infrastructure. Design and maintain Cisco and Arista datacenter networks, support WAN connectivity, automate operations with Python and Ansible, extend infrastructure-as-code and CI/CD practices, and lead incident response, on-call operations, postmortems, and root-cause analysis for complex network issues.

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.

Conduct actuarial research for UK life and health reinsurance, producing and monitoring pricing and valuation assumptions across mortality, morbidity, persistency, longevity, and annuity products. Develop statistical and predictive models, improve processes through programming and automation, manage research projects, contribute to market strategy, and communicate technical findings through client presentations, industry working parties, and internal committees.

Research, develop, and refine predictive signals and quantitative models for systematic investment strategies. Responsibilities include sourcing novel datasets, statistical modeling, machine learning, large-scale data analysis, designing and validating trading signals, backtesting hypotheses across market conditions, and collaborating with portfolio managers to deploy successful ideas.

Conduct research and end-to-end development of Aurendil, a next-generation graph database runtime. Responsibilities span theoretical design, query language and database architecture, implementation, system evaluation, and communicating findings to Neo4j product teams and the academic research community. The role targets post-doctoral researchers with systems research backgrounds in databases, compilers, programming languages, parallel or distributed computing, managed runtimes, or hardware acceleration.

Supports Citi’s EMEA Research product strategy by analyzing market, client, and franchise data; developing research presentations and pitch materials; coordinating thematic initiatives; managing communications and campaigns; improving content distribution and engagement; evaluating AI-enabled workflow tools; and supporting commercialization, client engagement, and strategic projects. The role partners with research, sales, trading, and senior management to strengthen market positioning and franchise growth.

Conduct formal-methods research for software, hardware, and mathematical verification. Apply Lean or similar proof assistants to verify safety-critical systems, develop algorithms that improve AI-driven theorem proving, and collaborate with AI researchers to train reliable reasoning systems. The role requires technical research project ownership and may involve programming languages, safety-critical verification, open-source tools, and high-quality research contributions.

PhD-level research intern to investigate and prototype 3D computer vision methods (SLAM, VIO, localisation, reconstruction). Survey SOTA, design and benchmark algorithms under real-world conditions, convert ideas into prototypes, and report results to a distributed European team focused on deployable defence-grade spatial perception.

Conduct research on real-world BGP usage and Internet routing behavior using large-scale data, statistics, data science, and AI/ML techniques. Analyze routing dynamics and Internet topology, prototype algorithms and tools, collaborate with researchers, engineers, and product teams, and contribute to production systems, technical reports, and research publications.

Assistant Professor at Birmingham Law School responsible for teaching, assessment, curriculum development, student supervision, research publication, grant development, PhD mentoring, knowledge transfer, and School administration. The role also involves academic citizenship, leadership, equality and diversity initiatives, public engagement, and supporting an inclusive learning environment. New appointees participate in a five-year academic development programme with expected progression to Associate Professor.

Lead and grow a team of infrastructure engineers responsible for core services (TFE, AD, Jenkins, inventory tooling, bastions). Set technical direction, ensure reliability and performance, drive IaC and automation (including AI-driven initiatives), act as incident escalation, balance ops with long-term improvements, hire and develop staff, and represent the team's roadmap to stakeholders.

Operate and evolve foundational infrastructure services including Terraform Enterprise, Active Directory, Jenkins and self-hosted platforms. Automate provisioning and lifecycle management, ensure monitoring, backups and recoverability, collaborate with platform and application teams, and participate in on-call incident response and continuous improvement.

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.

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.

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.

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.

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.

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.

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.

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.