Top AI Engineer Jobs in London

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 AI Infra Engineer will design, deploy, and optimize AI training and inference infrastructures using Kubernetes and Slurm while developing APIs and managing distributed systems.

The role involves building client relationships, providing technical value, and delivering customized solutions in data analytics and AI. The engineer will work closely with customers, demonstrate products, and support technical architecture discussions while also contributing to the technical community.

As a Senior AI Engineer at Man Group, you will develop and maintain AI and ML platforms, collaborate across teams, and drive AI initiatives in finance.

The Lead Software Engineer will design and develop AI-driven software, focusing on backend systems with Python and cloud technologies, while collaborating with cross-functional teams and guiding other engineers.

The Senior Backend Engineer will focus on voice cloning, text-to-speech technology, and optimizing infrastructure with cloud services. Responsibilities include backend development and deploying applications on Kubernetes.

Lead the design, development, and maintenance of reliable backend services, including AI-driven applications. Collaborate with various teams to ensure quality solutions and contribute to architectural decisions.

The AI Senior Solutions Engineer will engage with customers to understand their needs, design and implement automation solutions, and provide technical advice, while also contributing to product development and market strategies.

As a Staff Software Engineer, you'll lead the architectural and technical strategy for the AI Adoption Platform, driving innovation and mentoring other engineers.

The AI Enablement Engineer leads programs for engineering teams to integrate AI, teaches best practices, and develops scalable learning models.

Design, develop, and deploy AI and ML solutions. Collaborate on model experimentation and prototype development, ensuring operational excellence across data pipelines and APIs.

Join Xaira Therapeutics as an AI Research Engineer to develop AI models for drug discovery. Collaborate with interdisciplinary teams to leverage AI in healthcare.

As an AI & Automation Engineer, you'll design and optimize automation workflows, integrate systems, and develop AI tools to enhance operational efficiency.

As a Software Engineer - Data & AI at Speechmatics, you'll design and manage data pipelines, ensuring quality and reliability while collaborating on AI model development.

The role involves software engineering with a focus on full-stack development, utilizing AI tools and adaptability in dynamic environments.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

The AI Product Engineer will design, prototype, and ship AI systems, quickly translate requirements into prototypes, resolve issues, and evaluate new AI models and frameworks.

The Front-End Engineer will design and deliver user interfaces for Neo4j’s Generative AI products, collaborating with teams and supporting GenAI features integration.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

As an AI Automation Engineer, you will engage with customers, lead implementation projects, design solutions on the Five9 platform, and provide consultative support. Requires strong technical skills in cloud computing, telephony, and customer engagement technologies.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

The role involves owning AI/ML systems, leading the AI Engineering Pod, implementing backend solutions, and mentoring team members while ensuring system performance and compliance.

The Senior Software Engineer will design and implement AI solutions, develop full-stack applications, and lead projects within the AI Team, focusing on high-impact contributions and collaboration.