Top AI Jobs in London

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

The AI Solution Architect at Genesys connects AI product management with sales teams, drives growth by engaging in sales cycles, demos AI capabilities, and influences C-level decision-makers with technical leadership and customer-focused solutions.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Lead AI-focused engineering management, improving developer productivity through AI-integrated workflows, modernizing CI/CD pipelines, and ensuring alignment across teams.

The AI Deployment Manager leads the implementation of AI solutions for clients, ensuring they achieve tangible business results while managing complex deployments and collaborating with diverse teams.

The AI Deployment Engineer manages the technical integration of CrewAI's platform with customers, ensuring successful deployment and customer relationships post-sale while addressing technical challenges and optimization needs.

As a Senior AI Engineer, you will architect workflows for AI agents, develop ML/NLP products, and mentor engineers in crafting intelligent recruiting systems.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

Serve as a strategic legal advisor in AI and privacy, provide governance, develop sales collateral, and oversee compliance for data protection.

The Senior AI Implementation Manager will lead customer onboarding, manage integrations, and ensure value delivery through AI-driven workflows with a consultative approach.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.