Top AI Jobs in London

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

Design, develop, and productionize AI/ML solutions within the Workday practice. Integrate models into production, implement MLOps (CI/CD, versioning, monitoring), use cloud AI services and container orchestration, build data pipelines, and collaborate with cross-functional teams to ensure scalable, reliable AI-driven features.

Manage the creative team and lead brand campaign execution while developing team members and establishing creative authority across functions.

Design, build, and maintain services and infrastructure for AI-powered agents. Develop Python backend services and tested APIs, support React front-end integrations, work with MySQL, implement RAG and vector DBs, apply prompt engineering, optimise LLM interactions, and monitor production reliability and performance.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The Technical Consultant will lead customer engagements with Microsoft Copilot, providing solutions for AI adoption, and ensuring successful project delivery.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

The Senior AI Transformation Consultant works with clients to identify AI opportunities, define robust business cases, and oversee AI project deployments, ensuring solutions deliver value.

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 an Agentic AI Engineer, you'll design and implement workflows, develop integrations, and collaborate within a dynamic Agile team to enhance internal AI automation applications.

This role shapes and executes QBE's Data & AI strategy, ensuring investments deliver tangible value while managing stakeholder relationships and aligning strategic priorities.

Architect and build agentic workflows combining LLMs, reasoning, and data pipelines. Lead ML/NLP product development from training to deployment, drive experimentation, integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability.

The Business Development Manager drives sales for DeepHealth's products in the UK, manages key stakeholder relationships, and develops a strong sales pipeline. They focus on closing multi-year contracts, ensure compliance, and provide market intelligence while enhancing the customer experience.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

Surgo Health seeks a Senior Product Manager for AI and Data Products to define product strategy, lead product initiatives, and collaborate with cross-functional teams. The role emphasizes building AI-driven solutions in healthcare and requires strong product management skills with a technical background.

As an AI Engineer, you'll develop LLM-based user-centric products, creating frameworks, optimizing systems, and collaborating with cross-functional teams in a startup environment.

Develop and lead proprietary AI algorithms for large language models, optimize evaluation pipelines, and implement advanced prompt engineering methods.

Join the Science team to design cognitive systems for AI agents, implement memory systems, conduct validation experiments, and build scalable infrastructure for multi-agent simulations.

As an AI Engineer, you'll design and implement production AI features and build LLM evaluation frameworks in a fast-paced startup environment.

As Lead Data Engineer, you'll architect data systems for an AI product, building scalable pipelines and ML infrastructure while establishing engineering standards and mentoring future team members.

As the first hire, you will design AI systems for drug development, bridge pharma strategy and engineering, and translate client needs into product features.

Lead the technical development of a platform automating legal workflows for venture capital, designing and building core systems, and integrating AI for document processing.

Lead global talent strategy and recruitment for a fast-growing AI startup, focusing on sourcing technical talent and optimizing people operations.

The Staff Engineer will lead the development of technical infrastructure, manage AWS cloud operations, design database systems, and build production APIs. This role requires strong expertise in distributed systems and data pipelines.

The role involves QA of AI-generated suitability reports, engagement in prompt engineering, and quality framework development. Candidates must have paraplanning expertise and a deep understanding of FCA requirements.