Top AI & Machine Learning Jobs in London

As a Lead AI Engineer, you'll architect and deploy generative AI systems, optimize large models, and lead teams in AI engineering across financial services.

Lead technical delivery of advanced statistical and ML models for energy planning and forecasting. Hands-on development in Python, time series modelling, MLOps and Azure/Databricks; mentor teams, manage stakeholders, ensure model governance, production deployment and scalable data pipelines.

Design, build, and deploy production-grade generative AI and multi-agent systems for financial services. Architect scalable MLOps pipelines, optimize LLMs and multi-modal models, implement RAG and prompt-engineered agent workflows, and collaborate with clients and cross-functional teams to accelerate GenAI adoption and deliver measurable business impact.

Lead AI strategy and transformation for major financial institutions: define roadmaps, operating models, governance, and value realization; advise C‑suite; lead large programmes; grow practice and coach consulting teams.

The Senior Data Scientist will lead the delivery of data science solutions, mentor teams, and develop ML models to address business challenges.

Partner with financial services clients to identify, design, and deliver AI-enabled use cases (GPT, Copilot, generative AI) across operations, product, and compliance. Lead workshops, stakeholder engagement, implementation coordination, testing and change adoption to scale responsible AI capabilities within regulated environments.

Lead AI transformation for wealth and asset management clients: define AI adoption strategy, identify use cases, oversee multidisciplinary delivery, ensure governance, risk and compliance, and drive commercialisation and capability building across programs using GPT, Copilot and enterprise AI tools.

The AI Business Analyst will facilitate AI integration in wealth and asset management, engage stakeholders, support agile delivery, and drive responsible AI adoption.

Lead AI transformation programmes across Wealth & Asset Management clients, overseeing governance, roadmaps, delivery, risk, compliance, benefits realisation and stakeholder engagement. Embed responsible AI and AI-enabled solutions into operations, mentor teams, support commercial growth, and ensure scaled adoption of AI technologies.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.