Principal Machine Learning Engineer

KDR Talent Solutions Ltd; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

KDR Talent Solutions Ltd seeks an experienced ML Engineer to drive end-to-end ML development, including pipeline building, model deployment, and ML Ops. You will collaborate with cross-functional teams to integrate ML into products and ensure scalable, production-ready workflows.

Role emphasizes production-level ML engineering, strong Python skills, and experience with CI/CD and Kubernetes in a collaborative, flexible environment.

Qualifications

• 5+ years of production ML engineering experience.
• Strong Python proficiency with CI/CD tooling.
• Familiarity with orchestration frameworks and cloud platforms is a plus.

Responsibilities

• Design, build, and optimize ML pipelines.
• Deploy and manage models in production with orchestration tools.
• Develop CI/CD pipelines for automated testing and deployment.
• Lead ML Ops practices and monitor production models.

Skills

Python

CI/CD

Kubernetes

Production ML engineering

Tools

Kubernetes

Job description

Amazing opportunity for an experienced, end to end ML Engineer to play a key role for a well established data company who embarking on the next phase in their growth journey! A very grown up, collaborative and flexible environment offering fantastic career development opportunities

Role Overview

Drive end-to-end ML development, including pipeline building, model deployment, and ML Ops. Collaborate with cross-functional teams to integrate ML solutions into products and ensure scalable, efficient production workflows.

Key Responsibilities

• Design, build, and optimize ML pipelines.
• Deploy and manage models in production with orchestration tools.
• Develop CI/CD pipelines for automated testing and deployment.
• Lead ML Ops practices and monitor production models.

Skills & Experience

• Proficiency in Python.
• Strong background in CI/CD and Kubernetes.
• Experience in production-level ML engineering (5+ years).
• Knowledge of orchestration frameworks and cloud platforms is a plus.