Top Machine Learning Jobs in London

Lead and mentor engineers in ambitious R&D projects, driving advancements in speech technology and improving machine learning practices at Speechmatics.

The Senior Machine Learning Engineer will work on innovative R&D projects, collaborate across teams, and mentor others while focusing on advanced speech technology.

Join the QRT Crypto desk to enhance trading strategies using AI and ML techniques, focusing on automation and data-driven decision-making.

As an Applied Machine Learning Engineer, you'll apply advanced analytics and machine learning techniques to optimize rewards programs and develop new initiatives, working in a multidisciplinary team and impacting millions of users.

As a Sr. Account Executive, you will sell and develop customer relationships while building your territory, focusing on customs clearance efficiencies.

As the Lead Data Scientist, you will provide technical leadership, oversee project delivery, mentor teams, engage with clients, and contribute to strategic initiatives in retail and consumer AI solutions.

The Senior New Business Manager will drive advertiser growth in the Real-Money Gaming sector by managing the sales cycle, collaborating with teams, and representing the brand at industry events.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

Lead data science projects, build machine learning models, and mentor junior members while collaborating with business stakeholders to deliver data-driven solutions.

Build and optimize infrastructure for private, personal AI models, ensuring performance and privacy while deploying at scale.

Train personalized ML models, create synthetic data pipelines, evaluate model quality, and develop safeguards for AI privacy and misuse.

As a Product Manager, you will lead a cross-functional team, manage the roadmap for technical products, and collaborate with stakeholders.

You will build and maintain data infrastructure for detecting and responding to threats, power detection models, and ensure system reliability while collaborating with other teams.

The Product Manager oversees Infospectrum's product portfolio, collaborates with teams to ensure customer needs align with business objectives, and manages the development of data products in the maritime industry.

As a Pre-sales Solutions Architect, you'll build client relationships, provide technical expertise, guide adoption of the Databricks platform, and mentor junior team members.

This role involves developing sales leaders through leadership programs, integrating AI into sales processes, and analyzing performance metrics to enhance effectiveness.

As a Senior AI Engineer at Man Group, you will develop and maintain AI and ML platforms, collaborate across teams, and drive AI initiatives in finance.

Lead the design and development of telematics data products, influence the roadmap, and deliver full-stack features while collaborating with teams to ensure product success.

As a Senior Technical Consultant at Appian, you will lead software solutions for clients using Appian's platform, engaging throughout the project lifecycle, mentoring teams, and ensuring client success in building applications.

Lead multiple engineering teams, driving architectural decisions and operational excellence while collaborating with cross-functional teams to shape product strategy and execution.

As a Senior AI Product Manager, you'll lead AI product strategy and collaboration with AI teams, ensure customer-focused product development, and drive impactful outcomes in customer service AI solutions.

The Enterprise Account Executive will manage the sales cycle, develop account strategies, engage with customers, and contribute to product growth.

The NLP/LLM Scientist will research and apply machine learning methods for NLP and LLMs, collaborating across teams to deploy solutions and drive business initiatives.