Top Machine Learning Jobs in London

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

Lead pricing strategy across multiple brands, balancing growth and profitability. Translate analytics into commercial plans, adopt ML for risk models, manage pricing and data teams, oversee third-party capacity relationships, and drive data integration for competitive advantage.

Conduct statistical research and analysis in crypto markets, develop and refine trading strategies and mathematical models, work with large and unconventional datasets, backtest models, and implement algorithms in live trading environments to drive P&L.

The Director of Growth & Revenue Systems leads strategy and execution in optimizing revenue systems, focusing on growth initiatives and team management to drive productivity.

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

Join the FinTech Data Science team to develop ML models for fraud detection and optimize billing systems using AI and NLP techniques.

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 global workforce strategy aligned with business growth. Shape talent acquisition and organizational design for scale and efficiency. Partner with executive teams.

The Staff Data Scientist will lead the development of advanced machine learning models for fraud detection, optimize data strategies, and mentor team members while collaborating with cross-functional teams.

Lead the development of AI models for financial crime mitigation, focusing on automation, full-stack deployment, and mentoring junior data scientists.

The role involves resolving technical and operational issues, supporting problem management, and leading investigations on customer issues while ensuring network stability.

Provide data-driven solutions to customer issues, lead investigations, participate in on-site activities, and contribute to security reviews.

Lead product strategy for AI/ML features on ThousandEyes, translate customer needs into model-driven capabilities, collaborate with engineering and research, design AI-first UX, make product trade-offs, and operationalize experiments at scale.

Manage large-scale finance transformation initiatives, implementing technology solutions to enhance efficiency and processes while collaborating with various stakeholders.

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

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.

The Principal AI Architect will lead AI-enabled transformation initiatives for enterprise clients, focusing on strategic advisory, implementation, governance, and optimization across various business domains.

Lead the development of credit risk models for lending products, ensuring models are effective and integrated into credit decision frameworks.

The Trading Engineer will troubleshoot production issues, collaborate with various technologists, and help implement solutions for trading software enhancements.

Develop high to mid-frequency trading strategies and predictive models for Equities markets, collaborating with traders and software developers.

The role focuses on pre-sales engagement, demonstrating ServiceNow's Autonomous IT solutions and building relationships with technology leaders to realize their operational potential.

Lead a team of Machine Learning Engineers to develop consumer Gen AI products, focusing on image and video processing, while collaborating with multiple teams and overseeing the ML lifecycle.

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.

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.

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