Top Machine Learning Jobs in London

Lead initiatives in model-based autonomous driving as a Staff Machine Learning Engineer, focusing on model architecture and real-world deployment. Collaborate with cross-functional teams and mentor senior engineers in developing driving systems.

As a Machine Learning Engineer, you will design, build, and maintain ML pipelines, collaborate with data scientists, and ensure robustness in production ML systems.

Lead development and deployment of AI systems, design scalable ML software, mentor junior engineers, and collaborate with teams to solve client challenges.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

The role involves owning AI/ML systems, leading the AI Engineering Pod, implementing backend solutions, and mentoring team members while ensuring system performance and compliance.

As a Machine Learning Researcher intern, you will collaborate with experienced ML researchers on projects related to systematic trading, applying novel ML techniques and engaging with large datasets.

The Senior Machine Learning Engineer will design and deploy machine learning models and algorithms, collaborating with cross-functional teams to enhance educational products and transform Multiverse into an AI-first company.

As a Machine Learning Engineer, design and implement novel techniques for Imitation Learning, contributing to R&D and optimizing machine learning models.

Lead the design and implementation of Preply's ML platform, focusing on scalable architecture, CI/CD practices, and mentoring ML engineers. Drive cloud-native solutions and improve observability in ML workflows.

As a Senior ML Platform/Ops Engineer, you'll build and maintain machine learning pipelines, ensure system observability, and design data flows while collaborating across teams.

The Machine Learning Engineer will design and develop search and recommendation systems, manage project priorities, and improve technology processes.

As a Machine Learning Research Engineer, you will design and implement systems for training and evaluating large language models, collaborate with researchers, and contribute to scalable ML applications in an academic setting.

Develop data and analytics products using machine learning and MLOps, build scalable language services, and automate testing and deployment in a SaaS environment.

As a Machine Learning Engineer, you will manage ML infrastructure, optimize model performance, and support the deployment of machine learning models in a production environment.

The Senior Machine Learning Engineer will lead the architecture and design of ML solutions, develop end-to-end models, deploy and monitor ML models, and mentor other engineers. The role requires collaboration across teams and staying updated with ML advancements.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

The role involves optimizing ML inference for edge accelerators and GPUs, leading projects, collaborating with teams, and improving ML compilers and kernels.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Machine Learning Engineer will lead the deployment of ML models, design scalable systems, mentor team members, and collaborate with customers to solve engineering challenges.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Waymo seeks a summer intern to contribute to projects, implement research ideas, and run training and evaluation experiments in autonomous driving technology.

As an ML Platform Engineer, you'll build and enhance scalable ML platforms, automate workflows, and support generative AI initiatives, collaborating with cross-functional teams.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.