Top Machine Learning Jobs in London

The ML Engineer will develop and maintain machine learning models, collaborate with teams to leverage data solutions, and implement state-of-the-art code for banking applications.

As a Machine Learning Engineer, you will design scalable ML inference systems, automate model training pipelines, and implement cutting-edge ML research.

As an Engineering Manager, drive the development of autonomous vehicle capabilities, fostering innovation and maintaining production-level quality in ML models.

Join the Post-Training Team to optimize generative video creation, implement post-training techniques, and enhance model performance for avatar rendering.

As a Sr. Research Engineer, you will contribute to AI research focusing on training and optimizing generative video creation models, specifically in the areas of video diffusion techniques and model experimentation.

As a Senior Machine Learning Engineer, you'll develop ultra-realistic AV simulations, enhance sim realism using large models, and train and evaluate these models for production applications.

Join a team enhancing AV simulations using foundation models. Design experiments for realism, train large models, and integrate findings into production.

As a Senior Product Engineer at Intercom, you will develop technical plans, write Ruby code for backend systems, mentor engineers, and enhance customer service features, contributing to a robust platform for millions of users.

Develop end-to-end features for a video creation platform, oversee design and testing, mentor junior developers, and integrate APIs.

As a Full-stack Software Engineer, you'll design solutions, write quality code, collaborate with teams, and improve customer experience through technology.

The role involves developing machine learning applications to enhance physics simulations for various advanced industries, driving innovation in design and engineering processes.

Design and implement machine learning applications to enhance physics simulations for various high-stakes industries, focusing on optimization in engineering processes.

The Research Scientist will build machine learning models and algorithms for drug discovery, leading projects and mentoring others in a collaborative, interdisciplinary team environment.

Join Veeva Systems as a DS/ML Engineer to develop scalable AI language services for life sciences. You will build and optimize language models, automate MLOps, and mentor other team members.

The Data Engineering Lead will develop data pipelines and IT infrastructure to enhance decision-making in clinical trials, ensure quality data asset delivery, and lead data engineering projects by collaborating across teams while focusing on compliance and innovation.

Lead and manage a machine learning engineering team focused on RNA therapeutics, overseeing project execution and promoting best practices in software development and data science.

The AIML Engineer will build and optimize machine learning models to enhance GSK's financial systems, requiring a master’s degree, advanced Python skills, and experience in AI/ML product shipping.