Top Machine Learning Jobs in London

Lead the AML Solutions Team in developing product strategies and roadmaps. Collaborate with partners to enhance cardholder experience and manage product lines. Drive market penetration and oversee budget management.

Design, develop, test, and deploy automated trading system software solutions in collaboration with Quantitative Researchers, utilizing sophisticated statistical techniques.

Interns will learn financial markets, develop trading strategies, analyze data, and collaborate with experienced traders to enhance trading tools and frameworks.

As a Senior AI Deployment Architect, you will design, deploy, and scale AI solutions, collaborating with customers and internal teams to enhance business processes using Celonis' platform.

As a VP in the Prime Finance QR team, you will develop advanced mathematical models and collaborate with teams to optimize decision-making and automate processes, enhancing revenue and risk management.

The Lead Software Engineer develops secure production code, improves software stability, and leads teams in adopting new technologies within asset management.

Drive product innovation and user engagement in Sales Applied AI & Insights, leveraging GenAI for high-quality product development and adoption.

Oversee CIB CAO Book of Work governance, support analytics operating model, create data visualizations, manage key analytics initiatives, and collaborate to drive delivery and prioritize analytics projects.

The Senior Lead Software Engineer will design and develop AI products, collaborate with teams, and provide technical leadership while fostering an inclusive culture.

The Head of Product will lead the strategy and innovation for AI-powered products, focusing on exceptional user experiences and mentorship within the product team.

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

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Machine Learning Engineer will design, develop, and deploy scalable ML models for cyber threat intelligence, collaborating closely with data scientists and analysts to enhance cybersecurity measures.

As a Software Engineer Intern at Citadel, you will develop high-performance technology tools for trading strategies, working closely with teams on innovative projects during an 11-week program.

Lead the Applied AI team in developing APIs/libraries, mentor engineers, solve priority use cases, and ensure firm-wide AI excellence.

The Unity Product Manager will focus on product strategy, user experience, and cross-functional collaboration to enhance client workflows and operational efficiency.

Seeking a Senior Data Science Manager to lead FP&A, drive analytics, build models, and support strategic decision-making across the company.

The Principal Security Engineer will enhance cybersecurity solutions, evaluate security products, guide compliance controls, and lead engineering efforts with an agile team.

As a Principal Architect, you will lead architecture development using cloud technologies, align with strategic goals, and ensure integration across architecture domains while promoting best practices.

As an Associate, you will design advanced models for risk assessment, create analytics tools, and collaborate closely with stakeholders to enhance treasury management.

As a Senior Lead Software Engineer, you will design and develop scalable systems, lead architectural designs, mentor teams, and ensure high-quality solutions in cloud environments.

As a Senior Lead Software Engineer, you will provide technical guidance, develop production code, and influence product design while ensuring operational stability and quality.

As a Senior Software Engineer on the Global Compliance team, you'll develop systems for monitoring and reporting driver compliance, collaborating with team members across firmware, back-end, and mobile technologies.

The Lead Data Scientist will optimize and maintain fraud detection models, develop new machine learning features, and provide data-driven insights to reduce risk and enhance customer experience. This role involves collaboration with the Fraud Risk Team and communication of findings to stakeholders.

Manage the trade processing control, optimize trading systems through automation and data analysis, and lead a diverse team while engaging with stakeholders.