Top Machine Learning Jobs in London

Lead the delivery of generative AI solutions at Citi Innovation Labs by managing engineering teams and engaging with stakeholders to drive innovative projects across various business units.

The Product Owner will define product requirements, collaborate with stakeholders, guide Agile teams, manage product quality, and contribute to the product vision.

The role involves leading AI and data projects, building client relationships, delivering programs, and contributing to thought leadership in a collaborative environment.

Lead the Discovery Data Science team at Genmab, developing strategies that integrate computational methods, ML/AI into drug discovery, and managing team performance and collaborations.

The Vice President, AI Enablement oversees AI strategy at Parexel, leading implementation across clinical and corporate functions while ensuring compliance and innovation.

Lead the design, development, and verification of high-performance autonomy solutions for the defense industry, involving algorithms, system architecture, and mentoring.

The Machine Learning Engineer will develop and deploy machine learning algorithms, collaborating with teams to enhance model accuracy and system efficiency, focusing on real-world applications in pricing and customer targeting.

Lead the strategy and architecture of financial systems, optimize ERP solutions, drive automation, and collaborate with cross-functional teams to enhance financial operations and reporting.

The Lead Data Scientist drives the data science strategy, develops innovative solutions, mentors team members, and supports business development in healthcare consultancy.

As a Machine Learning Engineer, you'll train and deploy ML models for enterprise clients, work on deep learning solutions, and interface with product teams to enhance AI applications.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

The Analyst will focus on data analysis, utilizing R and machine learning to provide insights for high-profile clients, fostering growth and innovation.

As an AI Architect, you will design cloud architectures for machine learning and analytics projects, providing pre-sales technical leadership while mentoring and collaborating with teams to deliver innovative solutions.

The software engineer will develop AI tools for sustainability reporting, collaborating on product strategy and ensuring code quality while leveraging LLMs.

As a Software Engineer, you will design solutions, write quality code, collaborate with teams, and ensure efficient data delivery for client applications.

As Data Science Manager, you will lead a team of data scientists, shaping models that impact logistics operations and contributing to strategic decisions.

The Senior Machine Learning Engineer will develop ML models for biological data, improve scalability and interpretability, and collaborate with various teams for biomedical applications.

Join ASOS as an Applied Scientist focusing on machine learning solutions to enhance customer experiences through algorithm design and deployment.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

As a Sales Development Representative, you will engage prospects through outreach, qualify leads, track performance, and represent Hook at events while receiving training to excel in sales.

Lead the data science organization to deliver AI products, mentoring teams and executing a strategic vision for machine learning applications.

Lead the delivery of AI-powered agents in life sciences and healthcare, managing enterprise accounts, and advocating for customer needs with a focus on transformative AI solutions.

The role involves leading the Quality Assurance function, driving efficiencies and enhancements in operations, and managing a team to optimize processes and improve customer outcomes.

The Research Scientist Manager will lead a global team in foundational machine learning research, focusing on advanced algorithms and AI systems, mentoring team members, and participating in the entire research lifecycle including coding and experimentation.

As a Senior Applied Scientist, you will drive innovation in knowledge graphs and AI, design experiments, oversee development, and mentor junior scientists while collaborating with various stakeholders.