Senior ML Engineer — Architect & Deploy Scalable ML Systems

GoCardless; City of London; Hybrid; GBP 63,000 - 80,000; Full time

Job summary

A global bank payment company in London is seeking a Senior Machine Learning Engineer to lead end-to-end model development. The ideal candidate will have over 3 years of experience in ML, proficient in Python and SQL. You will work closely with data teams to build scalable solutions for processing millions of payments, contributing significantly to the company’s ML capabilities. Competitive salary and hybrid working model offered.

Benefits

Dedicated support and medical cover

Work Away Scheme

Hybrid Working

Equity for all employees

Generous holidays and volunteer days

Qualifications

• 3+ years of hands-on experience designing, training and deploying production ML models.
• Track record of shipping and running at least two end-to-end ML projects in production.
• Deep understanding of supervised and unsupervised learning methods.

Responsibilities

• Lead end-to-end model work and partner with Data Scientists and Data Engineers.
• Build and maintain scalable, automated pipelines for CI/CD of ML models.
• Mentor and coach mid-level and junior ML Engineers and Data Scientists.

Skills

Python

SQL

Machine Learning

MLOps principles

Collaboration

Education

Bachelor’s or Master’s in Computer Science, Machine Learning, Statistics, or Mathematics

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

A global bank payment company in London is seeking a Senior Machine Learning Engineer to lead end-to-end model development. The ideal candidate will have over 3 years of experience in ML, proficient in Python and SQL. You will work closely with data teams to build scalable solutions for processing millions of payments, contributing significantly to the company’s ML capabilities. Competitive salary and hybrid working model offered.