Top Machine Learning Jobs in London

The Machine Learning Engineer III will design and optimize AI systems, utilizing techniques like deep learning and statistical modeling to solve real-world business problems, collaborate globally, and communicate complex data effectively.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

Build and deploy AI systems for investment insights, focusing on ML and LLM-driven solutions, while ensuring high-quality data flow and outcomes.

Develop ML-based models for alpha generation using high-frequency data, maintain data pipelines, optimize model performance, and collaborate with teams.

Lead and grow the MLE sub-chapter, own and evolve the MLOps platform, enable scalable production ML, set governance and standards, and partner with Data Science and Platform teams to deploy, monitor, and maintain robust ML systems.

Isomorphic Labs seeks to recruit interested candidates for roles in software engineering, machine learning research, computational chemistry, and project management for future openings.

The Senior Mobile Engineer will develop cross-platform Flutter apps, collaborate across teams, and address real-world technology issues in logistics.

Lead and mentor a team of Machine Learning Scientists, translate business needs into actionable ML roadmaps, and implement best practices for ML workflows.

The Head of Product for Search & Commerce will lead product strategy, delivery, and cross-functional collaboration, ensuring a seamless customer experience and commercial growth.

The Research Scientist will conduct foundational machine learning research focusing on LLMs, collaborating with global teams, and engaging with academic communities to innovate AI systems.

As a Machine Learning Engineer at Trainline, you'll design scalable systems, work with complex datasets, and enhance the travel experience through innovative ML applications.

The Senior MLOps Engineer will operationalize AI and ML models, build pipelines, ensure monitoring and governance of ML workflows, and facilitate collaboration between data science and engineering teams.

The Principal Software Engineer will ensure the reliability and scalability of AI systems, leading infrastructure improvements and optimizing ML workflows.

The Staff Product Engineer (AI Focus) will build AI-driven features in TypeScript, own AI systems, design evaluation frameworks, and ensure reliability at scale, impacting user learning experiences.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

As a Lead Data Scientist, you will set technical direction, ensure project delivery, manage client relationships, and mentor data scientists.

As a Machine Learning Scientist, you will research and deliver machine learning solutions, conduct experiments, and collaborate with stakeholders to improve Depop's app functionality for millions of users.

As a Lead Machine Learning Engineer, you will enhance AI models predicting actions for salespeople using advanced machine learning techniques, oversee model architecture, and collaborate closely with the CTO on product strategies.

The Presales Engineer will address financial crime compliance needs by engaging clients, presenting solutions, leading POCs, and enhancing customer relationships.

Lead research in reinforcement learning and model alignment, mentor scientists, and drive innovations from conception to production deployment.

Xaira Therapeutics seeks AI Scientists with a PhD in AI or related fields for collaborative work in drug discovery using generative AI models.

Lead the Discovery AI portfolio focusing on Search and Recommendations. Define product strategy, drive roadmap, lead cross-functional collaboration, and measure product success.

The Senior Complaints Operations Manager will lead strategic initiatives within the complaints department, focusing on regulatory compliance and customer outcomes, while driving continuous improvement and leveraging technology.

Lead statistical and computational genomics efforts, applying machine learning and multi-omics datasets for target identification in drug discovery.

As a Senior Product Engineer, you will develop backend and frontend systems, mentor engineers, and enhance product architecture at Intercom.