Databricks

• London
• Hybrid
• Senior

Customer-facing engineering role building and productionising data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems across data engineering, ML/AI and application development, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London
• Senior

Lead the technical strategy for enterprise accounts in media, entertainment and agencies, owning architecture discussions from discovery through production deployment and consumption growth. Design scalable lakehouse, streaming and ML/AI solutions while advising customer architects and engineering leads, with live coding in Python and SQL.

Databricks · AWS · Azure +7

• London
• Senior

Customer-facing technical role partnering with Sales and Field Engineering to design, implement and scale secure, governed Databricks data and AI architectures. You lead architecture discussions, build prototypes and reusable assets, and drive adoption and consumption across strategic accounts, mentoring peers along the way.

Databricks · AWS · Azure +7

• London
• Hybrid
• Senior

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Involves production rollouts, serving as a trusted technical advisor, and collaborating with product and engineering to shape the roadmap.

Databricks · Apache Spark · HuggingFace +7

• London

Embed with strategic enterprise customers to design, architect and productionise custom fullstack data and AI applications on the Databricks platform. Work spans data engineering, ML/AI model integration, backend, frontend and stakeholder engagement, with accelerators fed back into the product roadmap. Requires up to 50% travel to client sites.

Databricks · OpenAI · Anthropic +7