Senior Engineer - Data Science

Royal Bank of Canada
London, UK
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

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)
+18 more
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

Job 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

Requirements

  • 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)

Benefits & conditions

We thrive on the challenge to be our best-progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Programme including bonuses, flexible benefits and competitive compensation
  • Leaders who support your development through coaching and managing opportunities
  • Opportunities to work with the best in the field
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training programme in financial services

Agency notice

RBC Group does not accept agency resumés. Please do not forward resumés to our employees or any other company location. RBC Group only pays fees to agencies where a prior agreement exists and does not pay fees related to unsolicited resumés. Please contact the Recruitment function for additional details.

About the company

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Good distractions

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