Top Machine Learning Jobs in London

As VP of Translational Computational Biology, you'll drive strategy to link data from -omics platforms with genetics, guiding teams to identify biomarkers and enhance drug development.

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

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

The AI Research Scientist will conduct research, develop ML models, lead projects, and explore new data sources to enhance AI techniques.

As a Senior Manager of Engineering, you will lead software development teams, oversee project execution, drive strategy for Microsoft Dynamics 365 solutions, enhance development practices, and promote team growth and innovation.

The AVP, Intelligent Automation Lead will oversee AI projects, guide RPA teams, and identify workflow improvements to enhance profitability across business functions.

Lead data science projects to develop and evaluate marketing tactics using innovative techniques. Collaborate across teams to influence strategic decisions and drive business impact.

As an Applied Science Intern, you will experiment, collaborate, and innovate within a cross-functional team, focusing on Machine Learning and NLP projects.

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 global teams in data engineering, develop scalable data platforms, drive DataOps modernization, and ensure data governance while collaborating with stakeholders.

Lead the product strategy and development of AI-powered cybersecurity products. Collaborate with engineering, sales, and marketing teams to drive product success and market adoption.

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

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.

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

As a Sales Development Representative, you'll conduct outbound outreach, qualify leads, and represent the company at events while receiving mentorship to grow your sales career.

The AI Residency Program offers recent graduates the chance to work on impactful AI projects in advanced materials. Candidates will apply their technical skills in a research-focused environment, contributing to machine learning and AI applications in the science and engineering domains.

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.

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

As an AI Deployment Strategist, you will help enterprise customers build and scale GenAI solutions, manage project delivery, and drive client strategy and growth while collaborating with cross-functional teams.

The Senior Developer Relations Manager will engage developer ecosystems, drive adoption of NVIDIA technologies, and collaborate across functions to enhance developer programs and solutions.

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

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.

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