Top Machine Learning Jobs in London

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

Senior Machine Learning Engineer role at Kayzen, revolutionizing AdTech with machine learning. Responsible for accelerating experimentation and deployment, robust model monitoring, collaborating with data scientists, productionizing pipelines, driving innovation, and championing software engineering best practices.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

The Senior Machine Learning Applied Scientist will apply reinforcement learning techniques to solve real-world marketing challenges, improve algorithms, conduct research, and collaborate with engineering teams to enhance the platform and develop APIs. The role involves using advanced evaluation methods and monitoring tools, engaging with customer implementations, and contributing to product strategy.

The Staff/Senior Machine Learning Engineer will lead ML projects, design and implement end-to-end ML solutions, optimize models, and analyze security data within a collaborative team environment, contributing to cybersecurity technologies.