Junior AIML Ops Engineer

Division: Group Digital Capabilities (GDC)

About the Role

Youll be joining the AI Delivery squad within the Analytics Insights and Reporting (AIR) tribe part of our Group Digital Capabilities (GDC) division. Our team transforms data into insights using techniques like machine learning natural language processing and optimization.

This is an entry-level opportunity for individuals passionate about AI/ML and eager to grow in a collaborative and innovative environment.

What Youll Do

• Assist in developing and deploying AI/ML models under the guidance of senior engineers.
• Learn to monitor and maintain models in production environments.
• Support data preparation and validation tasks.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Contribute to building our Azure Cloud Data Platform.

What Were Looking For

• Understanding of machine learning concepts and Python programming.
• Familiarity with librarieslike pandas scikit-learn or similar.
• Interest in learning MLOpstools and practices (e.g. MLFlow Azure ML Studio).
• Willingness to learn about cloud platforms (Azure preferred) version control (Git) and data engineering basics (SQL ETL).
• Curiosity about NLP and AI applications in finance.

Nice-to-Have

• Exposure to web frameworks (FastAPI Flask) CLI tools (Typer Click) and Data/ML orchestration tools (Airflow ZenML Dagster).
• Experience with Jupyter notebooks and turning prototypes into clean code.
• Experience with the Databricks platform.
• Knowledge of Unix/Linux command line basics.

Soft Skills

• Strong communication and teamwork skills.
• Eagerness to learn and grow in a structured environment.
• Openness to feedback and mentoring.
• Enthusiasm for agile ways of working (scrum boards standups).
• Appreciation for collaboration knowledge sharing and maybe even dad jokes!

Qualifications

• Graduate in Computer Science Data Science Engineering or a related field.
• Some academic or personal project experience with Python and machine learning.
• No prior professional experience required just a strong motivation to learn and contribute.

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