Senior ML Engineer — Production-Grade Models (Remote)

Forbes Advisor; City Of London; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading advisory firm is seeking a Senior Machine Learning Engineer to build production ML systems for marketing optimization. Candidates should have over 5 years in data engineering, strong Python and SQL skills, and experience with GCP tools. The role is remote-first with flexible hours and offers a supportive work environment. Position includes responsibilities such as designing GCP ML pipelines and collaborating with various teams.

Benefits

Monthly long weekends

Wellness stipend

Flexible hours

Qualifications

• 5+ years in software or data engineering with 3+ years focused on ML systems in production.
• Experience integrating model outputs into paid marketing or product workflows at scale.
• Familiar with MLOps practices like experiment tracking and model monitoring.

Responsibilities

• Design and operate ML pipelines in GCP.
• Maintain low-latency model services and batch scoring jobs.
• Implement monitoring for drift and data quality.

Skills

Strong Python

SQL proficiency

ML libraries (scikit-learn, TensorFlow or PyTorch)

GCP experience

Practical MLOps

Ability to manage initiatives

Tools

BigQuery

Composer or Airflow

CI/CD frameworks

Job description

A leading advisory firm is seeking a Senior Machine Learning Engineer to build production ML systems for marketing optimization. Candidates should have over 5 years in data engineering, strong Python and SQL skills, and experience with GCP tools. The role is remote-first with flexible hours and offers a supportive work environment. Position includes responsibilities such as designing GCP ML pipelines and collaborating with various teams.