Senior Engineer - Data Science

Salary: £76,000 - 98,000 per year

Requirements:

• Degree-level qualification (or equivalent professional experience) in Computer Science, Software Engineering, or a related field
• Extensive professional software engineering experience with a strong emphasis on back-end development, API design, and production-grade service delivery
• Demonstrable experience designing, building, and maintaining REST and/or GraphQL APIs, including contract design, versioning, authentication, and documentation
• Proficiency in Python as a primary back-end language, with hands-on experience building and deploying Python-based APIs such as FastAPI, Flask, or similar
• Experience with cloud data platforms, particularly Databricks, and a solid understanding of how model outputs and data products are served from these platforms
• Demonstrable experience designing and building MCP servers, defining tools and resources, and managing server lifecycle
• Hands-on experience with Databricks Model Serving, MLflow, or equivalent model registry and serving infrastructure
• Familiarity with agentic application frameworks like LangChain, LlamaIndex, or AutoGen, and how they interact with MCP servers
• Experience working in regulated industries such as financial services

Responsibilities:

• Design and build REST and GraphQL APIs that expose ML models from Databricks to internal apps, CRM platforms, and enterprise systems, handling contract design, versioning, authentication, and clear documentation
• Build MCP servers that expose models and data products as structured tools for AI agents and LLM apps, enabling new use cases and unlocking whats possible with AI
• Create middleware layers when needed, handling transformation, enrichment, or protocol adaptation to bridge gaps between Databricks and downstream consumers
• Keep APIs stable and well-documented by actively gathering feedback from consumers and iterating based on what works
• Collaborate with ML engineers and data engineers to ensure the serving layer sits on reliable, well-governed infrastructure
• Build lightweight prototype applications to test, demonstrate, and validate model outputs and MCP-served capabilities
• Set the bar for engineering quality by mentoring junior colleagues through code reviews and knowledge sharing, and championing clean code, version control, CI/CD, and automated testing
• Ensure security and governance standards are met across all APIs, MCP servers, and integrations

Technologies:

• AI
• AI Agents
• API
• Architect
• CI/CD
• Cloud
• CRM
• Databricks
• FastAPI
• Flask
• GraphQL
• LLM
• MCP
• MLflow
• Model Serving
• Python
• REST
• Security
• Support

More:

We are RBC, and this is a permanent, full-time role based in London, with 4 days in the office at our London location. You will report to the Director, Data Science and work closely with the Data Science Lead to architect and deliver APIs and integrations that are reliable, secure, and built for scale. We offer a comprehensive Total Rewards Programme including bonuses, flexible benefits, and competitive compensation, along with coaching, opportunities to work with the best in the field, the chance to make a lasting impact, a dynamic and collaborative team environment, and a world-class training programme in financial services. We are guided by our shared values of Client First, Integrity, Collaboration, Respect and Excellence, and we strive to create an inclusive workplace where people are supported to perform, collaborate, innovate, and grow professionally.

last updated 36 week of 2026