Top Machine Learning Jobs in London

Lead the data strategy and governance, ensuring data-driven decision-making. Oversee analytics, team development, and technology infrastructure to drive business outcomes.

The Head of KQ Labs will steer the strategic development and execution of KQ Labs, overseeing program delivery and resource allocation, while enhancing partnerships and community engagement.

Lead the design and implementation of AI/ML solutions in Market Operations, manage a team, and drive strategy aligned with business goals.

The Research Scientist will conduct foundational machine learning research focusing on LLMs, collaborating with global teams, and engaging with academic communities to innovate AI systems.

Lead the deployment of AI/ML solutions in cloud migration, design frameworks, and mentor engineering teams, utilizing machine learning techniques to improve business processes.

As a Senior Research Data Scientist, you will translate complex business problems into data science problems using AI algorithms, working with statistical methodologies and machine learning techniques to develop scalable solutions.

The role oversees NVIDIA's developer relations focusing on AI and deep learning, fostering engineering partnerships, and strategic community building.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

The job requires a consultative sales approach to develop new AI solutions sales with a focus on high-value enterprise deals. The role involves engaging with executives to drive digital transformation across various industries.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

The Staff Data Scientist will develop and deploy machine learning models, enhance automation, conduct experimentation, and lead collaborative efforts to drive business value across teams.

The Lead AI & ML Engineer will lead the AI & ML Engineering team, managing solutions from ideation to deployment, mentoring team members, and ensuring robust, scalable AI/ML delivery across Charlotte Tilbury.

The role involves managing the pre-sales process by conducting technical validations, collaborating with sales and customer success teams, and creating necessary documentation while ensuring customer satisfaction and smooth handover.

Lead the Product and Design function, shaping strategic vision, mentoring teams, and partnering with clients to deliver impactful AI solutions.

The Account Executive will drive revenue growth, manage client relationships, execute sales deals, provide market insights, and enhance NexGen Cloud's presence through engagement and thought leadership.

The CRM Analytics Manager will lead CRM analysis, develop dashboards, translate data into insights, and ensure measurement quality. They will also promote experimental culture and collaborate with various teams.

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

Lead a squad of engineers to build core products, drive delivery of features, mentor team members, and foster innovation and collaboration.

As a Quantum Applications Intern, you will work on quantum algorithms and related techniques, focusing on computational materials science and quantum simulations. You must have a strong academic background in quantum computing, chemistry, physics, or materials science.

The Director of Technical Recruiting will lead the recruitment of top technical talent, aligning with business goals and building a high-performing talent acquisition team for AI and engineering roles.

As a Forward-Deployed Product Manager, you will collaborate with clients to solve silicon design issues, execute tailored deployment plans, and integrate AI systems into production workflows.

The role involves building and implementing machine learning models, collaborating with cross-functional teams to solve complex problems in data science.

Responsible for the roadmap of a technical product, collaborating with engineers and stakeholders to develop, launch, and grow products.

The role involves managing strategic enterprise relationships, executing multi-threaded sales cycles, showcasing AI capabilities, and fostering growth across large organizations.

Lead the technical direction and delivery of innovative AI projects, design ML systems, engage with customers, and mentor team members.