Top Machine Learning Jobs in London

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

Lead the design and deployment of recommendation systems, mentor team members, collaborate across functions, and innovate using emerging ML techniques.

As a Senior Machine Learning Scientist at Depop, you'll design and deliver ML solutions for search and ranking, conduct experiments, and collaborate with product and engineering teams.

The role involves developing and deploying ML workflows, teaching best practices, and contributing to infrastructure scalability for AI initiatives.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As an AI/ML Engineer, you'll develop AI solutions, conduct data analyses, build production-grade systems, and integrate advanced recommendation engines.

Lead the development of Lightricks' AI infrastructure, manage backend engineers, and oversee system design and technical strategy for cutting-edge AI models in production.

The Machine Learning Recruiter will connect G-Research with top talent in AI and ML, manage recruitment, and represent the company culture.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The role involves fine-tuning models, designing architectures, building evaluation pipelines, and collaborating on AI product features for a global audience.

The role focuses on transforming language models into impactful products, involving fine-tuning models, designing datasets, and evaluating performance, while collaborating with various teams.

The AI & ML Engineer will oversee the entire AI/ML lifecycle, collaborating with stakeholders to develop and implement scalable, efficient solutions while ensuring the security and robustness of ML systems.

Lead Machine Learning initiatives focusing on fraud prevention and customer personalization, fostering collaboration across teams to enhance banking experiences through advanced ML models.

As a Senior Staff ML Scientist at Monzo, you'll define ML strategy, mentor talent, and integrate ML into business operations, enhancing customer support and efficiency.

The Senior Platform Engineer in Machine Learning at Monzo will design, maintain infrastructure for ML models, and work with various cloud technologies.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

As a Senior AI/ML Software Engineer at BJAK, you will help design and implement machine learning systems that enhance user experience and improve financial services. Your responsibilities include defining ML goals, managing the ML lifecycle, and integrating outputs into products.

The Machine Learning Engineer will develop AI-driven features, deploy scalable systems, and enhance reliability while collaborating with teams to integrate AI solutions.

The Senior Machine Learning Engineer will enhance ML model performance in NLP, deploy models, collaborate with teams, and lead design proposals.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

The role involves creating and deploying machine learning models for game development, focusing on computer vision and natural language processing, and improving tools for developers.

Design, build, and maintain machine learning systems to optimize restaurant operations. Collaborate with teams to ensure practical ML applications drive business results.