ML Engineering Manager — Lead Production ML (Hybrid)

SPG Resourcing; York and North Yorkshire; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

SPG Resourcing is seeking a Machine Learning Engineering Manager to lead a new ML Engineering team in York or London. This role involves building scalable ML infrastructure and managing the end-to-end MLOps lifecycle. Ideal candidates will have over 5 years of experience in machine learning with a strong background in production deployments, especially on GCP Vertex AI. The position is hybrid, offering flexibility, alongside a competitive salary and benefits package.

Qualifications

• 5+ years’ experience as a Machine Learning Engineer with strong production deployment background.
• Hands-on expertise with GCP (Vertex AI) and cloud-based ML model deployment.
• Strong understanding of MLOps practices and challenges in production.

Responsibilities

• Lead and manage the ML Engineering team including recruitment and training.
• Build and maintain scalable ML infrastructure on cloud platforms.
• Own the end-to-end MLOps lifecycle from data ingestion to model deployment.

Skills

Production deployment experience

GCP (Vertex AI)

MLOps practices

Infrastructure as Code (Terraform)

Docker

CI/CD

Git workflows

Stakeholder management

Agile environment

Job description

SPG Resourcing is seeking a Machine Learning Engineering Manager to lead a new ML Engineering team in York or London. This role involves building scalable ML infrastructure and managing the end-to-end MLOps lifecycle. Ideal candidates will have over 5 years of experience in machine learning with a strong background in production deployments, especially on GCP Vertex AI. The position is hybrid, offering flexibility, alongside a competitive salary and benefits package.