Top Machine Learning Jobs in London

As a Staff Machine Learning Engineer at Spotify, you'll drive the technical strategy for Search, focusing on ML for recommendations, collaborating with teams, and enhancing user experiences through advanced models and scalable architectures.

As a Senior Machine Learning Engineer, you will enhance machine learning systems for fashion retail, mentor juniors, and lead ML initiatives.

Lead multiple data science and application development projects across the data science lifecycle. Design, build, test and deploy scalable, secure AI/ML and generative AI systems on-premises and on GCP. Manage and coach team members, engage stakeholders, produce documentation and testing artefacts, support end users, and translate data science into measurable business value for Group Audit.

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

Lead decision science and credit models while driving improvements in credit performance, policy, and strategy. Produce insights for risk monitoring and product pricing.

The VP of Engineering will lead the engineering teams overseeing cloud, platform, data, and application engineering, focusing on execution, reliability, and scalability of Hypervolt's systems while collaborating with hardware and firmware teams.

Manage end-to-end recruitment for technical roles (Data Science, Software, ML, Simulation): source candidates, conduct phone screens, coordinate interviews, maintain ATS, support employer branding, and ensure a positive, data-driven candidate experience.

The Principal Product Manager will lead the Agentic AI experiences and platform capabilities, collaborating across teams to define product vision and requirements, ensuring operational scalability and customer value.

Lead and develop a high-performing team of data scientists focusing on acquisition and retention strategies, while shaping the overall data science direction for the company.

The Machine Learning Manager will lead a team of engineers, design ML solutions, collaborate with product managers, and contribute to improving user experience at Pennylane.

The Head of EMEA Education Sales will build and lead OpenAI's ChatGPT Edu sales presence, focusing on customer acquisition and supporting educational institutions across EMEA. Responsibilities include team management, sales strategy execution, and cross-functional collaboration.

As M&A Tech Specialist, you will identify and evaluate AI acquisition opportunities, conduct technical due diligence, and collaborate with teams to enhance Mistral's capabilities and market presence.

The role involves guiding the Data Science team to develop search and recommendation systems, working with commercial teams to deliver user-focused products, and managing multiple projects related to data science implementation.

The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.

Develop and implement machine learning products and augmented reality experiences at Snap, focusing on image/video generation and integration of ML models.

The Solution Engineer will collaborate with sales teams to resolve complex customer problems, promote Snowflake's technology, and drive successful implementations while maintaining a deep understanding of data architecture and analytics.

As a Senior Actuary, you'll develop and analyze risk models, manage stakeholder relationships, and lead a team in home insurance pricing strategies, utilizing advanced analytics and machine learning techniques.

The role involves leading data science analytics teams to enhance understanding of international markets at eBay, focusing on data-driven solutions and customer engagement through AI.

Lead the design, development, and operation of analytical and ML systems for financial services, ensuring model accuracy and compliance.

The Director/Senior Director will develop and sell AI use cases, work with customers on digital transformation, and manage strategic relationships.

Manage CRO relationships for drug discovery projects, implement CRO management systems, monitor project efficiency, and drive contract negotiations with stakeholders.

The Client Partner role focuses on building executive relationships and driving AI adoption for enterprise clients through consultative sales and strategy.

Lead the design and development of complex AI solutions, manage a team of engineers, and engage stakeholders to deliver innovative technology solutions.

The Senior Analytics Executive will lead research projects, apply advanced data analysis, and effectively communicate findings using visualizations. You'll also contribute to public data initiatives.

As a Senior Data Scientist, you will apply your data science expertise to client projects, manage junior team members, and communicate complex findings effectively.