Top AI Engineer Jobs in London

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The AI Full-Stack Developer will create automation solutions using AI and LLM APIs, integrating these with internal systems while collaborating with technical teams.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

As a Senior Full Stack Developer, you'll design and maintain web applications, optimize backend data services, and implement AI-driven solutions for network operations using Python and React.

The role focuses on deploying AI SDR agents and optimizing sales processes through automation, enhancing productivity across the revenue team while requiring hands-on experience in AI implementation in B2B sales environments.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

The Lead Engineer will develop secure systems, ensure engineering best practices, lead technical architecture, and integrate AI capabilities into production systems.

The Principal Presales Engineer will serve as the bridge between enterprise accounts and product teams, designing complex solutions and influencing product strategy through stakeholder collaboration.

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.

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.

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.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

Develop end-to-end AI product features by integrating LLMs and external tools, ensuring system reliability and performance across multiple tasks.