Top Machine Learning Jobs in London

Pre-Sales AI Solution Designers collaborate with teams to propose AI-driven solutions, design architectures, present capabilities, and assist with proposals, ensuring compliance and ethical standards in AI development.

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

The Sales Specialist will develop a dedicated sales pipeline for DeepL's agentic product portfolio, acting as a product expert to qualify opportunities and educate clients.

As a Product Engineer, you'll build scalable features, solve complex problems, and collaborate across teams, focusing on user impact and product strategy.

The Enterprise Account Executive will manage the sales cycle, develop account strategies, engage with customers, and contribute to product growth.

The Reserve Engineer provides technical support for robotic hardware, resolves hardware failures, and assists with robot deployments while ensuring excellent customer service.

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

Lead multiple engineering teams, driving architectural decisions and operational excellence while collaborating with cross-functional teams to shape product strategy and execution.

Lead Analytics Consultants will provide advanced analytics solutions, guide teams, design data architectures, and deliver impactful BI solutions using cloud technologies.

Manage and mentor Data Scientists in Payment Intelligence, oversee ML models for payment decisions, and guide strategic roadmaps while collaborating across teams.

Join the London Video Team to develop AI-driven video compression models, focusing on model optimization and implementation using deep learning techniques.

As a Software Engineer, you will design and build scalable systems for AI transcription models, improve architecture and collaborate with teams to ensure performance and stability of cutting-edge technology.

The Customer Success Manager will drive customer outcomes and renewals, act as a product expert, engage with stakeholders, and contribute to customer growth excellence.

Design and train machine learning solutions for digital identities, focusing on areas like deepfake detection and document understanding, while collaborating with product and engineering teams.

Join Waymo to enhance AV simulations using deep learning. Collaborate globally, design metrics, train models, and hire diverse engineers.

The Senior Manager of Partnerships will lead the global partner strategy, manage partner relationships, drive revenue, and collaborate cross-functionally within the organization.

As a Sales Manager, you will build agency relationships, support revenue growth, manage sales activities, and represent Zefr at industry events.

Lead the ML Workflows team at G-Research, designing strategies for ML research, guiding engineers, and ensuring high-quality MLOps solutions.

As a Product Operations & Delivery Manager, you'll streamline product development, ensure cross-functional collaboration, translate user needs into technical requirements, and manage product backlogs.

As a Senior Machine Learning Engineer, you will develop models for interpreting physiological signals, analyze time-series datasets, design algorithms, and collaborate with domain experts.

Lead and develop teams of data scientists, driving impactful projects through experimentation, causal inference, and applied machine learning while collaborating with various stakeholders.

The Machine Learning Engineering Manager will lead teams to optimize delivery logistics through machine learning, focusing on algorithm development and cross-functional collaboration.

This role involves developing AI-driven solutions for visual content, supporting image/video generation, model training, and workflow collaboration in CGI.

As an Applied Science Intern, you will experiment, collaborate, and innovate within a cross-functional team, focusing on Machine Learning and NLP projects.

As a Research Engineering Intern, you will develop scalable ML solutions, collaborate with a cross-functional team, and innovate using modern software development practices.