ML Ops Engineer - GCP Vertex AI Pipelines & Deployments

Madfish; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A financial services technology company is seeking a Middle-level ML Ops Engineer in the United Kingdom to build and maintain ML pipelines on Google Cloud Platform (GCP). The role involves managing large text data and deploying machine learning models in various environments. Candidates should have solid GCP experience and familiarity with MLOps best practices. The position offers a flexible schedule and support for professional growth.

Benefits

Paid vacation

Sick leave without paperwork

Professional growth opportunities

Flexible working schedule

Career Development Plan (CDP)

Employee support program

Training and conference funding

Internal workshops and seminars

Corporate library

Internal English classes

Qualifications

• Solid experience with Google Cloud Platform (GCP).
• Proficiency with Vertex AI and BigQuery.
• Hands-on experience deploying and supporting ML models.
• Understanding of MLOps best practices and automation tools.
• Good communication skills and ability to work in a distributed team.

Responsibilities

• Build and maintain ML and data pipelines on GCP.
• Manage and preprocess large volumes of text data.
• Deploy machine learning models in real-time and batch environments.
• Support and optimize infrastructure for ML workflows in Vertex AI and BigQuery.
• Collaborate with client’s engineers for smooth handoffs.

Skills

Google Cloud Platform (GCP)

Vertex AI

BigQuery

MLOps best practices

Communication skills

Job description

A financial services technology company is seeking a Middle-level ML Ops Engineer in the United Kingdom to build and maintain ML pipelines on Google Cloud Platform (GCP). The role involves managing large text data and deploying machine learning models in various environments. Candidates should have solid GCP experience and familiarity with MLOps best practices. The position offers a flexible schedule and support for professional growth.