Senior Engineer - Data Science

Royal Bank Of Canada>; City Of London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Competitive compensation

World-class training programme

Job summary

Royal Bank of Canada is hiring a Senior Engineer - Data Science in London to design and deliver APIs and MCP servers for ML models in production. You will collaborate with Data Science leaders to architect reliable, secure services and will mentor junior engineers while advocating clean code and governance.

The role requires strong back-end development with Python, REST/GraphQL, and experience with Databricks and MCP servers, plus a commitment to secure, scalable infrastructure in a London

Qualifications

• Degree-level qualification 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
• Experience designing, building, and maintaining REST and/or GraphQL APIs—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—Databricks—and solid understanding of how model outputs and data products are served from these platforms
• Designing and building MCP servers, defining tools and resources, and managing server lifecycle

Responsibilities

• Design and build REST and GraphQL APIs that expose ML models to internal apps and enterprise systems
• Build MCP servers exposing models and data products for AI agents and LLM apps
• Create middleware layers to bridge gaps between Databricks and downstream consumers
• Keep APIs stable and well-documented with user feedback loops
• Collaborate with ML engineers and data engineers to ensure serving layer sits on reliable infrastructure
• Build lightweight prototype applications to test and demonstrate model outputs
• Mentor junior colleagues through code reviews and knowledge sharing
• Ensure security and governance standards across APIs, MCP servers, and integrations

Skills

API design

Back-end development

Python

Databricks

MCP servers

Education

Degree in Computer Science or related field

Tools

FastAPI

Flask

CI/CD

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.

This is a permanent, full-time role requiring 4 days in the office at our London location.

What will you do?

• 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

What do you need to succeed?
Must-have

• 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

Nice-to-have

• 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

What is in it for you?

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

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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.

Job Skills

Active Learning, Agile Methodology, Application Integrations, Detail‑Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Address:

100 BISHOPSGATE:LONDON

City:

London

Country:

United Kingdom

Work hours/week:

35

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Posted Date:

2026-08-04

Application Deadline:

2026-09-24

Senior Engineer - Data Science London, United Kingdom