Top Machine Learning Jobs in London

As a Machine Learning Performance Engineer, you'll optimize large-scale workloads across GPU and CPU infrastructure, collaborating with researchers and engineers to improve performance and capabilities of research workloads.

The Machine Learning Research Engineer will design and implement foundational AI models and infrastructure for multi-omics, focusing on high-performance ML algorithms and scalable data pipelines for biomedical applications.

Design, test, and implement innovative machine learning models to enhance predictive analytics for sports betting based on historical data.

The Senior Machine Learning Engineer will develop and optimize AI models for Graphcore's hardware, focusing on performance at scale while collaborating with cross-functional teams.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

As a Machine Learning Engineer, you will develop machine learning models, optimize solutions, ensure data flow, and automate workflows while collaborating with clients and stakeholders.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

As a Machine Learning Engineer at Faculty, you'll build and deploy AI solutions, collaborate with teams, and advise stakeholders on technical aspects.

Lead the development of advanced machine learning models to enhance customer support at Monzo, optimizing routing and improving resolution efficiency.

As Lead Solutions Architect, you'll design scalable AI solutions, drive customer success, mentor teams, collaborate cross-functionally, and influence product development by understanding both technical and business needs.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

The Software Engineer will port and optimize C++ applications and ML models for ARM-based platforms, collaborating on R&D for improved on-device ML capabilities.

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.

The role involves developing and optimizing machine learning models and collaborating on research projects with quantitative researchers.

Conduct research using machine learning techniques to develop investment strategies, leveraging extensive data and computational resources.

The Lead Machine Learning Engineer will optimize pricing processes, manage ML model lifecycles, and collaborate with cross-functional teams to enhance predictive modeling capabilities.

Design and maintain ML code for LLM safety, implement techniques for robust evaluation, and collaborate with product and engineering teams.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

As an Applied AI Intern, you will support the deployment of AI applications, collaborate with teams on customer projects, and enhance product capabilities based on user feedback.

The ML Platform Engineering Manager will lead a team to build scalable AI infrastructure, overseeing backend systems and guiding engineers while fostering collaboration between teams.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.