Top AI Jobs in London

The AI Engineer will design and build full-stack applications, optimize AI interfaces, and collaborate on integrating AI technologies into enterprise solutions.

The Head of Tooling will lead the Research Tooling Unit, defining the strategic vision, mentoring managers, and aligning initiatives to enhance AI research productivity.

The role involves developing AI/ML models, designing scalable software solutions, collaborating with teams, ensuring compliance, and leveraging experience with Python and Generative AI.

As an AI Architect, you will design cloud architectures for machine learning and analytics projects, providing pre-sales technical leadership while mentoring and collaborating with teams to deliver innovative solutions.

The role involves managing data management, AI, and analytics audits, providing advisory services, developing governance frameworks, and driving business growth in financial services.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

The AI Developer Technology Engineer will develop advanced techniques in machine learning and optimize performance on GPU architectures, while collaborating with architects and customers.

As a Product Manager, you will guide the AI roadmap, collaborate with engineers on machine learning models, prioritize initiatives, and analyze user feedback to enhance AI-driven products.

The Lead AI Engineer will architect AI systems, build backend services in Python, optimize models using real user data, mentor a team, and advise on product features.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

Conduct research in natural language processing while developing advanced semantic systems. Collaborate on projects optimized for AI and embedding mechanisms.

The Staff Software Engineer will develop AI tools for game integration, optimize C++ code, and implement CI/CD and automated testing processes.

You will develop AI-powered features for Mural, collaborating with product and design teams to enhance user experiences and drive AI innovation.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

The Senior Account Manager will engage AI startups, building partnerships and driving demand for NVIDIA's AI solutions while leading cross-functional teams and developing market strategies.

The AI Solutions Director at Nearform leads AI solution development, strategic partnerships, and pre-sales engagements, leveraging deep AI expertise to drive measurable business impact for enterprise clients.

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

The AI Platform Architect will design and implement AI and data platform solutions on Google Cloud, manage containerized applications, optimise data workflows, and collaborate on security and compliance requirements.

The Associate will execute investments in AI infrastructure, managing financial models, deal sourcing, due diligence, and asset management for Brookfield's AI Fund.

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

The Internship Programme offers training in financial markets and allows interns to build tools, analyze data, and work with Quant teams on AI integration and trading strategies.

Lead AI solutions for financial services, identifying customer needs, driving innovation, and collaborating with teams to implement AI projects.

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.

Manage and build a team of pre-sales Solutions Architects, focusing on strategic accounts to enhance revenue through solutions-based selling.

The Sales Engineer will bridge HockeyStack's AI platform and customer business solutions, focusing on demo engineering, sandbox POCs, and applying the MEDDICC framework for effective sales strategies.