Top AI Jobs in London

The AI Product Manager will oversee AI implementation in Conversational Commerce, ensuring quality and safety in AI deployment while driving product strategy and evaluation metrics.

The Head of Data & AI leads initiatives in data and AI, focusing on remediation, governance, infrastructure development, and collaboration with various teams to ensure ethical AI use and data-driven decision-making.

Lead the AI Innovation Hub at Ultimo, defining strategy and driving AI-enabled product initiatives, customer co-creation, and team leadership while ensuring alignment with business goals.

Lead the development and optimization of AI and machine learning models, mentor junior engineers, and enhance AI-driven features for the platform.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

The Principal Product Manager for AI Travel will lead pricing intelligence and reconciliation systems across travel verticals, collaborate with cross-functional teams, and scale model-driven infrastructure for financial management.

Conduct applied research in machine learning for autonomous driving, focusing on large deep learning models and their deployment. Collaborate with teams to enhance model performance.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

Design and implement HPC/AI cluster and network infrastructures, manage deployment and orchestration tools, and provide consulting on infrastructure strategy.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Principal Software Engineer will lead the design of GenAI solutions, collaborating with teams to enhance AI capabilities in drug discovery and clinical development.

The Head of Internal AI at UserTesting will define and implement AI strategy, drive governance, and ensure measurable business impact of AI initiatives across the company.

The Principal Software Engineer (AI) will lead the design and delivery of AI capabilities, focusing on LLM applications across platforms. Responsibilities include collaborating with data scientists, ensuring robust operational practices, and mentoring team members.

The Principal Software Engineer (AI) leads the design and delivery of GenAI capabilities, collaborating with teams to implement AI solutions in BioPharma contexts while setting engineering best practices.

The role involves ensuring stability and performance of AI and DevOps platforms, managing incidents, and collaborating with engineering teams while driving innovation and automation strategies.

Lead the delivery of large-scale software implementations for emergency services, managing schedules, resources, and customer relationships while ensuring projects meet quality, budget, and timeline requirements.

The role involves supporting fundraising, managing investor relations, and driving commercial growth in an AI-first property management platform. The candidate will also lead cross-functional projects and coordinate key client relationships.

The Data Scientist will manage AI agents to process and transform financial data, build data pipelines, and ensure data reliability and validation.

Lead enterprise sales for an autonomous AI assistant in the property sector, managing partnerships, defining revenue strategies, and mentoring a sales team.

The Applied AI Consultant will build and prototype AI solutions, teach and facilitate AI adoption workshops, and consult with client leadership to develop AI strategies for business impact.

The role involves developing AI models for influencer marketing, collaborating with product and engineering teams, and improving model performance through experimentation and scalable data processing.