Top AI Engineer Jobs in London

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

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

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.

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 Staff Software Engineer for AI Content will develop and ship production code, collaborate on product features, and mentor other engineers to improve overall product architecture.

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.

Seeking Founding Engineers for an AI startup to shape product offerings, build a scalable platform, and define engineering culture and strategy from the ground up. Ideal candidates should be Full-Stack Product Engineers with startup experience and a passion for AI.

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.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

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.

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

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

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.

As a Senior AI Engineer, you'll design, build, and scale AI agents for restaurant management, improving operations through innovative technology and practices.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

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 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.

As a Senior AI Engineer, you'll architect and scale advanced AI systems, lead model design and deployment, and mentor engineers, driving innovation in the insurance industry.

As a Sales Engineer at HockeyStack, you will create demos, build POCs, engage with customers, and apply the MEDDICC framework to solve marketing and sales challenges in a fast-paced environment.