Top Tech Jobs & Startup Jobs in London

Lead and develop product and service design within Applied AI, deliver high-impact client engagements, build design capability, define skill frameworks, and partner with business development and executive stakeholders.

Lead and develop the Product Management discipline for Applied AI, set standards and skill frameworks, perform senior consulting on client engagements, advise enterprise clients on adoption and operating models, partner in business development, and mentor teams to build durable AI-powered products.

As a Senior Manager, you will oversee project delivery, manage customer relationships, identify business opportunities, and mentor teams in AI applications.

Lead commercial growth for Energy Transition & Environment accounts by managing client relationships, driving multi-million-pound sales, overseeing cross-functional delivery teams, identifying AI-driven use cases, negotiating complex deals, and representing Faculty at industry events.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

Lead design, build and deploy production-grade ML systems and infrastructure. Make architecture decisions, implement best practices for ML at scale, advise clients, collaborate cross-functionally, and mentor junior engineers while meeting operational and ethical standards.

Lead technical direction and delivery of large-scale AI/ML platforms. Architect microservices and shared libraries, align ML, data science and DevOps, coach distributed engineers, define production readiness, and drive hiring and standards across software engineering.

Lead technical direction and delivery of large-scale, production ML systems. Design and implement scalable model deployment, lifecycle management, CI/CD, APIs, testing and versioning frameworks. Oversee multiple complex workstreams, justify architectural decisions to stakeholders, coach engineers, and recommend new AI technologies to maintain competitive advantage in high-risk environments.

As a Lead Machine Learning Engineer, you will set technical direction, lead ML projects, develop solutions, mentor engineers, and improve delivery processes.

Design, build and deploy production-grade ML software and infrastructure. Create reusable, scalable ML solutions, lead technical scoping and architecture, collaborate with engineers, data scientists and stakeholders, and advise clients on operationalising models and best practices.