Databricks Engineer – GenAI / AI Engineering
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Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
Start Date: May 2026
End Date: September 2026
Locations: London
Sector: Banking
Daily Rate: Inside IR35
Payroll provider – Rockford Payroll Info for Contingent Workers – Rockford Pay
We are hiring Databricks Engineers across Consultant, Senior Consultant, and Manager levels for a leading banking client in London, focused on delivering enterprise-scale Generative AI and advanced data engineering solutions.
This is not a traditional Data Engineering role. We are looking for professionals who can build and deploy production-grade AI solutions using Databricks, combining strong engineering capability with hands-on GenAI delivery experience.
You will work on cutting-edge AI initiatives including LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, vector search, and enterprise AI deployment across large-scale banking environments.
What You’ll Be Doing
End Date: September 2026
Locations: London
Sector: Banking
Daily Rate: Inside IR35
Payroll provider – Rockford Payroll Info for Contingent Workers – Rockford Pay
We are hiring Databricks Engineers across Consultant, Senior Consultant, and Manager levels for a leading banking client in London, focused on delivering enterprise-scale Generative AI and advanced data engineering solutions.
This is not a traditional Data Engineering role. We are looking for professionals who can build and deploy production-grade AI solutions using Databricks, combining strong engineering capability with hands-on GenAI delivery experience.
You will work on cutting-edge AI initiatives including LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, vector search, and enterprise AI deployment across large-scale banking environments.
What You’ll Be Doing
- Design, build, and deploy enterprise-grade Generative AI applications using Databricks
- Develop LLM-powered applications using RAG architectures
- Build agentic AI workflows using LangChain and LangGraph
- Implement vector search, embeddings, and semantic retrieval systems
- Develop scalable data pipelines using Python, SQL, and PySpark
- Leverage Databricks Mosaic AI, MLflow, and Lakehouse architecture
- Optimise AI model performance, evaluation, and deployment
- Work closely with business stakeholders and technical teams across major banking transformation programme
- Strong hands-on experience with Databricks
- Python, SQL, and PySpark expertise
- Experience building Generative AI / LLM applications
- RAG pipeline development experience
Consultant
Hands-on delivery focused with strong engineering capability and experience building AI solutions within Databricks environments.
Senior Consultant
Solution ownership, architecture design, and technical leadership across delivery workstreams.
Manager
Programme ownership, enterprise GenAI delivery leadership, stakeholder management, and strategic architecture oversight.
Nice to have
- Databricks Mosaic AI
- Azure OpenAI / OpenAI / AWS Bedrock
- MLOps and CI/CD
- Responsible AI / Governance frameworks
- Financial Services domain expertise
This is an opportunity to work on some of the most advanced AI transformation programmes in banking, helping shape how enterprise GenAI is deployed at scale.
If you are passionate about Databricks, AI Engineering, and building real-world GenAI solutions, we’d love to hear from you.