Top Research Jobs in London

Lead a team of researchers to develop AI-powered research tools, drive product strategies, and manage cross-functional partnerships to improve user insights across global markets.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

The Research Engineer will work with researchers to develop software solutions in quantitative finance, focusing on performance optimization and system scalability.

The Senior Clinical Research Associate will oversee compliance and data quality in oncology trials, coordinate site activities, and manage monitoring responsibilities while ensuring regulatory adherence and data integrity.

The Senior Research Engineer will translate ML research into solutions, optimize models for cloud, and deploy foundation models for retail.

The Research Engineer will develop offline contextual bandit and reinforcement learning models for hyper-personalisation in retail, focusing on logged interaction data.

The Senior Research Engineer will create high-fidelity virtual environments, build simulation pipelines, and integrate various sensors for developing autonomy in drones and satellites.

As an ML Research Engineer/Scientist, you'll develop machine learning models for Boltz Lab, collaborating with ML researchers and domain experts in chemistry and biology to enhance drug discovery processes.

Design and maintain codebase, tools, and services for training AI models. Write clean, efficient code and optimize distributed systems.

As a Research Engineer in ML, you'll optimize large-scale ML systems, collaborate with Research Scientists, enhance models, and implement algorithms in Python.

Contribute to NLP/ML research projects, develop benchmarks, train large language models, and publish findings at conferences.

Develop and optimize performance-critical C++ systems for trading and market data, collaborating with FPGA engineers and focusing on low-latency architecture.

The Quantitative Researcher will create predictive signals, analyze data patterns, and implement models within a global execution platform, leading the entire research strategy cycle.

The Data Analyst will conduct data analysis on audience behavior, generate insights, create reports, and coordinate between teams to improve decision-making and client communication.

The Product Manager will enhance the Ipsos iris reporting interface, manage collaboration with teams, gather requirements, execute testing, and maintain documentation within an Agile framework while utilizing audience measurement tools.

The Senior Technical Product Manager will oversee strategy and operations for backend products ensuring secure researcher access to genomic data, collaborating closely with technical leads and engineers.

As a Software Developer, you will build data pipelines, design dashboards, improve services, and enhance web applications while collaborating with COO and Operations teams.

The Research Manager oversees quantitative research projects, manages client relationships, guides teams, and contributes to business development, focusing on delivering impactful insights for clients.

As a Software Engineer Intern, you will develop data applications, refactor code, automate workflows on AWS, and collaborate with teams to enhance functionality.

The Senior Applied Research Engineer will enhance Spotify's media experiences by leading research and engineering efforts in audio and video systems, focusing on signal processing, perceptual quality, and production integration.

The Engineering Manager will lead the design and delivery of large-scale engineering systems, manage a high-performing team, and collaborate on a data storage platform.

The Infrastructure Architect will design and oversee the infrastructure roadmap, focusing on private cloud and on-premises environments, ensuring alignment with business objectives and technology standards.

Design and manage platform APIs for cloud automation, build backend services in Go/Python, contribute to platform reliability and observability, and collaborate across teams.

The Research Operations Manager will build and manage systems for efficient research operations, focusing on automation and infrastructure while collaborating with other departments to streamline processes and improve onboarding.

As a Research Engineer in Reinforcement Learning, you will develop and optimize RL infrastructure, push boundaries in AI research, and collaborate on scalable systems for large language models.