ML Engineer: Transaction Monitoring for Banking (Glasgow)

TXP; Glasgow; On-site; GBP 92,000 - 148,000; Full time

Job summary

TXP is seeking a Data Science / ML Engineer to help build and deploy machine learning solutions for transaction monitoring in Business Banking. You will work with large-scale data, implement models, and collaborate with analytics colleagues to turn insights into actionable production workflows.

Candidates should be strong in Python, ML techniques, and data visualization, with experience in PySpark and SQL. Location is Glasgow (Edinburgh considered) and the role is onsite 2-3 days per week for a

Qualifications

• Strong Python and Pandas for data analysis.
• Solid ML knowledge with supervised and unsupervised techniques.
• Experience with tree-based/boosting models (XGBoost, LightGBM).
• Experience handling large datasets, ideally with PySpark.
• Strong SQL and data visualization skills (Matplotlib, Plotly).

Responsibilities

• Develop ML models for transaction monitoring in Business Banking.
• Collaborate with analytics teams to translate insights into production pipelines.
• Work on end-to-end data analytics from data wrangling to model interpretation.

Skills

Python

Pandas

ML/ML algorithms

PySpark

SQL

Data visualization

Tools

XGBoost

LightGBM

Matplotlib

Plotly

Job description

TXP is seeking a Data Science / ML Engineer to help build and deploy machine learning solutions for transaction monitoring in Business Banking. You will work with large-scale data, implement models, and collaborate with analytics colleagues to turn insights into actionable production workflows.

Candidates should be strong in Python, ML techniques, and data visualization, with experience in PySpark and SQL. Location is Glasgow (Edinburgh considered) and the role is onsite 2-3 days per week for a