Top Machine Learning Jobs in London

The Senior Quantitative Researcher will conduct market microstructure research, develop execution models, perform data analysis, and mentor junior researchers, contributing to trading strategy optimization.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for Graphcore's hardware, focusing on performance and scalability, and collaborating with cross-functional teams.

Lead pricing strategy and analytics for growth, manage a high-performing team, and implement advanced data practices. Drive strategic vision and influence board-level decisions.

The Staff Data Scientist will lead the development of advanced machine learning models for fraud detection, mentor team members, and enhance data strategies for robust model training.

11-week internship building high-performance research platforms and trading tools. Work in small teams on distributed systems, NLP/ML applications, and web frameworks while collaborating with senior engineers.

The Senior Product Designer will lead the creation of user-centric digital products, focusing on UX, UI, and AI integration in financial services and energy.

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

This role involves developing software for investment analytics, collaborating with clients, enhancing system features, mentoring, and ensuring system performance and quality.

Develop and maintain high-quality software solutions for alternative investment analytics, mentor junior developers, and enhance operational efficiency through innovative engineering practices.

The Senior Service Designer will create customer-centric products and services, lead workshops, and oversee design delivery while incorporating AI capabilities.

As a Senior Lead AI Solutions Consultant at Braze, you will increase revenue by promoting the AI portfolio, leading demos, and educating stakeholders about AI solutions while fostering collaborative relationships with clients.

The role involves leading the AML Risk Data Science team, developing machine learning solutions to detect financial crime, optimizing performance, mentoring team members, and improving operational processes.

Intern will collaborate with Quantitative Researchers to design, develop, test, and deploy software solutions for automated trading systems.

Lead the development of AI-enabled products within a consulting environment focused on financial services and energy, utilizing modern AI tools and methodologies.

The AI Deployment Engagement Manager leads AI decisioning deployments, driving customer engagement, facilitating workshops, and improving processes while managing complex projects with technical expertise.

Conduct quantitative research and statistical analysis on crypto markets to develop, backtest, and implement automated trading strategies. Work with large and unconventional data sets to build valuation models, refine algorithms, and deploy signals in live trading to drive P&L growth.

The intern will work on developing high-performance research platforms, create tools for trading strategies, and collaborate with teams to innovate financial technology.

The Trading Risk Analyst supports sales and trading, manages trade processes, analyzes P&L, and collaborates with teams on technology and operational workflows.

Lead the technical strategy for Samsara's Sustainability products, designing data-intensive systems to improve fuel and electric vehicle energy efficiency. Mentor engineers and drive technical decisions on sustainability initiatives.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

The AI Deployment Architect will collaborate with customers to design and implement AI and automation solutions, ensuring alignment with their business strategies. This role involves working closely with product and engineering teams, leading training, and developing scalable solutions and use cases across the Celonis platform.

As a Forward Deployed Engineer, you'll architect ML solutions for clients, collaborating with teams to ensure successful deployments, optimize model training, and build relationships with clients to drive product success.

As Senior Manager, you will transform risk operations using AI, collaborating with teams to develop and deploy innovative solutions, ensuring alignment with governance standards.

As a Data Analytics Principal Consultant, you'll lead data transformation initiatives, mentor consultants, and engage with stakeholders in financial services to drive data literacy and innovation.