Job Search and Career Advice Platform

Enable job alerts via email!

Staff ML Engineer - Production-Ready AI Platforms

TWG Global AI

Greater London

Hybrid

GBP 100,000 - 140,000

Full time

9 days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading AI firm in the United Kingdom is seeking a Staff Machine Learning Engineer (VP) to design and deploy advanced machine learning systems. You will lead the development of production-grade infrastructure and mentor a team of ML engineers. This hybrid role offers competitive compensation and a comprehensive benefits package while driving AI innovation in financial services. Candidates should possess strong ML expertise, a proven track record in the field, and a Master's or PhD in a relevant discipline.

Benefits

Competitive compensation
Discretionary bonus
Comprehensive medical benefits

Qualifications

  • 8+ years of experience in machine learning systems in production environments.
  • Strong expertise in ML frameworks and engineering stacks.
  • Experience with data and model pipelines.

Responsibilities

  • Design and deploy advanced ML systems.
  • Lead the development of production-ready ML pipelines.
  • Mentor and coach ML engineers.

Skills

Machine Learning Systems
MLOps best practices
Cloud ML Infrastructure
Python
Leadership

Education

Master's or PhD in Computer Science, Machine Learning, or related field

Tools

TensorFlow
PyTorch
AWS SageMaker
Kubernetes
Prometheus
Job description
A leading AI firm in the United Kingdom is seeking a Staff Machine Learning Engineer (VP) to design and deploy advanced machine learning systems. You will lead the development of production-grade infrastructure and mentor a team of ML engineers. This hybrid role offers competitive compensation and a comprehensive benefits package while driving AI innovation in financial services. Candidates should possess strong ML expertise, a proven track record in the field, and a Master's or PhD in a relevant discipline.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.