MLOps Engineer - Build Scalable ML Platforms on GCP

Mesh-AI Limited; Greater London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

A digital insurance innovator is seeking a MLOps / Machine Learning Engineer to enhance their ML platform on Google Cloud. This role focuses on designing, implementing, and standardizing machine learning pipelines, and mentoring teams. Candidates should have over 4 years of ML systems experience, a computer science degree, and familiarity with Vertex AI and GCP tools. The position is hybrid, based in London, and offers benefits including a matched pension and a learning budget.

Benefits

Learning budget of £1,000 a year

Enhanced maternity & paternity

Travel season ticket loan

Qualifications

• 4+ years of experience building and deploying production ML systems.
• Proven track record in designing MLOps or ML platform tooling.
• Strong understanding of model lifecycle automation.

Responsibilities

• Design and standardise machine learning pipelines.
• Build reusable components to accelerate model delivery.
• Mentor ML engineers and data scientists.

Skills

MLOps experience

Machine Learning infrastructure

Automation

Collaborative mindset

Education

Degree in Computer Science or related field

Tools

Docker

Terraform

GCP

Vertex AI

BigQuery

Job description

A digital insurance innovator is seeking a MLOps / Machine Learning Engineer to enhance their ML platform on Google Cloud. This role focuses on designing, implementing, and standardizing machine learning pipelines, and mentoring teams. Candidates should have over 4 years of ML systems experience, a computer science degree, and familiarity with Vertex AI and GCP tools. The position is hybrid, based in London, and offers benefits including a matched pension and a learning budget.