Top Research Jobs in London

The role involves conducting AI research, advancing state-of-the-art techniques, and integrating findings into company products while focusing on user impact. Senior candidates may lead teams.

As a Machine Learning Engineer, design and implement novel techniques for Imitation Learning, contributing to R&D and optimizing machine learning models.

Manage engineering programs for generative machine learning models, ensuring cross-functional alignment, process improvement, and communication flow to enhance project execution.

The Infrastructure Architect will develop the infrastructure roadmap, establish standards, evaluate technologies, and lead on-premises architectural solutions in a hybrid cloud environment.

As an FPGA Engineer, you will develop RTL HDL in SystemVerilog, create automated test benches, script in Python, and develop software in C/C++. You'll contribute to a low-latency system for financial services and collaborate within a small engineering team, promoting flexibility and proactive problem-solving.

The Talent Sourcer will identify and engage technical talent using head-hunting techniques and various platforms while building candidate relationships and supporting the recruitment process.

As a Software Engineering intern at QRT, you'll support trading activities, working with engineers and researchers to develop performance-driven systems and tools. You'll gain hands-on experience in a high-performance, technology-focused environment.

As an intern in the FPGA team, you'll design FPGA-based trading platforms, working with SystemVerilog, C++, and Python to optimize performance and support development projects. You'll collaborate with engineers and gain hands-on experience with FPGA hardware.

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

Join Qube Research & Technologies as a Lead Hardware Management Engineer, responsible for Linux systems administration, performance tuning, and leading research infrastructure projects.

As an intern in Platform Technology Services, you will work in teams focused on Cloud, Infrastructure, Security, and Network Operations, gaining experience in high-performance platforms and contributing to QRT's quantitative trading operations.

As a Machine Learning Research Engineer, you will design and implement systems for training and evaluating large language models, collaborate with researchers, and contribute to scalable ML applications in an academic setting.

The Senior Talent Acquisition Coordinator will coordinate recruitment activities, manage applicant tracking, schedule interviews, and support recruiting initiatives, particularly in university recruitment.

As a Research Scientist at Graphcore, you will advance AI research by designing experiments and collaborating with engineers on AI hardware developments while addressing embodied AI challenges.

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

The Site Reliability Engineer will enhance system reliability and performance by designing, maintaining, and troubleshooting scalable systems while ensuring security and compliance.

The Research Engineer/Scientist will develop multimodal AI systems, working on architecture, infrastructure, and data ingestion, while collaborating closely with a team of researchers and engineers.

As a PhD/Master's Research Intern, you will advance AI research, implement models, design experiments, and explore data relating to machine learning or accelerated computation.

The Research Lead will oversee AI climate and weather modelling research, coordinate a team, engage with partners, and ensure impactful research outputs.

The Research Engineer will design and implement scalable distributed backend systems, deploying on AWS, and collaborating with cross-functional teams. Responsibilities include problem ownership and navigating ambiguity in system design and operation.

As a Platform Infrastructure Research Engineer, you'll design scalable systems for AI, optimize cloud services, and support resilient infrastructures across various environments.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The role involves providing commercial analysis and transaction support for clients in the European power and renewables markets, enhancing data models, managing projects, and contributing to business development.

Lead the development of AI models for drug discovery, optimize performance, collaborate across teams, and drive innovation in healthcare.