Top AI Jobs in London

This role requires creating instructional technical content, including detailed documentation and high-quality screencasts, while collaborating with development teams to ensure accuracy and engagement.

As an AI Scientist, you will develop and evaluate novel AI models and methodologies, working collaboratively with cross-functional teams to enhance our AI applications.

The Applied AI Engineer will onboard clients and ensure successful deployment of AI products, collaborating with teams to address customer needs and challenges.

We are looking for a Fullstack Developer with experience in web projects, LLMs, and AI integration. The role involves collaboration on innovative projects, creativity, and adaptability in problem-solving.

The role involves assessing AI-generated math content, crafting math questions, and evaluating AI responses, requiring expertise in math and Spanish.

The Lead AI Engineer will drive AI initiatives, develop AI capabilities, and enhance data quality for SaaS products in a cloud-based environment, while mentoring team members and ensuring compliance with security standards.

As a Senior/Staff ML Engineer, you will experiment with training large language models, improve agentic task infrastructure, and utilize data mining techniques.

Develop and implement end-to-end features for a video creation platform, mentor junior developers, and maintain high-quality code standards.

The AI Software Developer at WorldQuant will design and build AI-driven products, collaborate with teams, and address complex problems with custom solutions.

As an Applied AI Engineer, you will create custom AI applications for public sector clients, focusing on computer vision and language models, collaborating with teams to deliver high-quality AI solutions.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

The Senior Data & AI Specialist designs, develops, and deploys AI models, collaborates across teams, and drives predictive analytics to enhance business performance.

Create engaging marketing videos for AI productivity software, leveraging existing materials and current social media trends to drive brand engagement.

Develop and implement AI and Computer Vision algorithms for robots, enhancing perception systems and collaborating on innovative research projects.

The AIML Engineer will build and optimize machine learning models to enhance GSK's financial systems, requiring a master’s degree, advanced Python skills, and experience in AI/ML product shipping.

The role involves developing LLM-based solutions, improving product features, managing datasets, mentoring colleagues, and ensuring compliance with ethical standards.

Develop and maintain AI and machine learning algorithms, create data pipelines, collaborate with cross-functional teams, and deliver robust product features.