Top Research Jobs in London

As a Research Engineer, you will develop scalable ML solutions, engage in software development, and apply machine learning techniques in a team-oriented environment.

The Manager of Research Engineering leads a team focusing on developing LLM and Machine Learning capabilities, overseeing project direction, and mentoring engineers.

As a Senior Research Engineer, you will lead the development of conversational AI models, improve core capabilities, and manage research projects from prototype to production.

Lead the strategy, design, and delivery of scalable engineering systems for quantitative research, guiding a team to enhance developer and research experiences.

The Lead Network Operations Engineer will manage network performance, security, and automation, responding to incidents, and enhancing operational processes through improved observability and efficiency.

The Research Engineer will research, test, and deploy trading strategies, build research infrastructure, and collaborate on trading ideas while implementing solutions in Python and C++.

Join Research Partnership's Talent Community for future roles in healthcare market research. Candidates will receive updates on job openings and company culture.

The Project Manager oversees healthcare market research projects, managing fieldwork, coordinating teams, and ensuring timely completion of deliverables while suggesting process improvements.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

As a key member of the Market Access team, you will build market access systems, handle trading gateways, and collaborate with various teams at QRT.

This role involves gathering regulatory requirements, translating them into specifications, improving surveillance processes, and collaborating with engineering teams using SQL and Python.

As an Operations Associate, you will oversee vendor services, conduct reconciliations, manage operational queries, and support onboarding and NAV processes.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

Analyze network and exchange protocols, automate performance metrics, and optimize high-frequency trading infrastructure for improved trading operations.

The role involves leading operational frameworks for academic partnerships and research initiatives, managing operational systems, budgets, and optimizing administrative processes while ensuring collaboration across teams and regions.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

As a Data Scientist at QRT, you will work with data to inform trading decisions, prototype data handling code, and solve data related problems.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

The role involves designing and backtesting thematic equity indices, developing Python tools for index construction, and collaborating with clients and the research team.

The Product Designer will lead UX research, create user journeys and prototypes, optimize performances through data analytics, and enhance user experiences.

The SaaS Sales Executive will drive sales in the academic sector, identify new business opportunities, manage the sales cycle, and build relationships with key stakeholders in Europe.

The Customer Insights Manager will utilize customer insights to shape product development and go-to-market strategies, while collaborating with various teams on market analysis and product positioning.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.