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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer - Data Science - **Company:** Royal Bank of Canada - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Application Frameworks, Application Integration Architecture, User Authentication, Automation of Tests, Code Review, Continuous Integration, Middleware, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, Management of Software Versions, Enterprise Software Applications, Flask (Web Framework), Large Language Models, Backend, Fastapi, Build Management, Information Technology, Graphql, Machine Learning Operations, Api Design, Restful APIs, Software Version Control, Databricks, Programming Languages - **Published:** August 5, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=b9523a8d6986d6f7 ## About the Role * Degree-level qualification (or equivalent professional experience) in Computer Science, Software Engineering, or related field * Extensive professional software engineering experience with strong emphasis on back-end development, API design, and production-grade service delivery * Demonstrable experience designing, building, and maintaining REST and/or GraphQL APIs-comfortable with 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 (FastAPI, Flask, or similar) * Experience with cloud data platforms-particularly Databricks-and 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, Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC) ## Description You'll build the plumbing that gets ML models into the hands of the people who need them. Whether it's REST APIs feeding internal apps, GraphQL endpoints powering dashboards, or MCP servers fueling AI agents-you own the serving layer that makes models actually useful across RBC. You'll report to the Director, Data Science, working closely with the Data Science Lead to architect and deliver APIs and integrations that are reliable, secure, and built for scale., * 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 what's 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-actively gather feedback from consumers (BI team, app builders, etc.) to fix gaps early and iterate based on what actually 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-mentoring junior colleagues through code reviews and knowledge sharing; champion clean code, version control, CI/CD, and automated testing * Ensure security and governance standards are met across all APIs, MCP servers, and integrations ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)