Top Machine Learning Jobs in London

As a Research Engineer, you will develop ML solutions in quantum computing, bridging research and implementation, and ensuring communication between teams.

The Research Scientist will innovate in reinforcement learning, driving research projects, implementing algorithms, running experiments, and collaborating with peers to achieve impactful results.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

The Head of Paid Media will define and manage a comprehensive paid media strategy, oversee a large budget, lead a team, and drive performance growth through innovative marketing tactics and effective campaign management.

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.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

As a Senior Data Scientist, you will develop and deploy machine learning models, collaborate with stakeholders, and mentor team members, focusing on delivering impactful AI solutions within the insurance sector.

The VFX Supervisor will integrate AI and ML into visual effects pipelines, manage teams, and ensure high-quality outputs in projects.

Lead AI research and data science projects at DTCC, guiding strategy, team management, and collaboration with stakeholders to implement innovative AI solutions.

Lead the AI Engineering squad, driving the design and deployment of production-grade AI systems to enhance business value while ensuring compliance and best practices.

Participate in a 3-year rotational program focusing on data science and engineering, gaining hands-on experience in analytics, modeling, and visualization.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As a Client Partner, you will drive adoption of the Aera Decision Cloud by managing relationships with senior executives, promoting value-based selling, and closing strategic deals.

The Fraud Specialist will identify fraud risks, implement detection mechanisms, and develop training to enhance fraud awareness across the company.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The Head of AI Assurance will develop AI safety frameworks within financial services, generate new business, and enhance market profile through thought leadership and senior stakeholder engagement.

As a Research Intern, you'll work with machine learning experts to apply statistical methods to real-world finance problems, develop models, and implement software solutions.

The role involves leading AI research and development, designing AI solutions, mentoring teams, and collaborating to deliver enterprise-scale AI capabilities.

The role involves designing, implementing, and running experiments to study AI's societal effects, focusing on high-impact risks from frontier AI deployment.

As an MLOps Engineer, you will develop and implement ML features for pricing strategies, maintain MLOps practices, and ensure the performance and reliability of ML systems.

As an MLOps Engineer, you'll build and implement features enhancing data-driven pricing for hotels, ensuring reliability and scalability of ML systems, streamline data pipelines, and collaborate with teams for impactful revenue growth.

Lead the EMEA partner enablement strategy by designing and executing scalable learning programs for partners in the data ecosystem, driving measurable growth and readiness through effective training and stakeholder management.

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

Join Waymo to enhance AV simulations using deep learning. Collaborate globally, design metrics, train models, and hire diverse engineers.

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