Senior Machine Learning Engineer

Added
22 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure docker aws python kubernetes

πŸ“‹ Description

  • Lead development and deployment of cutting-edge AI systems for diverse clients.
  • Design, build, and deploy scalable, production-grade ML software and infrastructure.
  • Operate within rigorous operational and ethical standards.
  • Collaborate with engineers, data scientists, product managers, and commercial teams to solve client
  • Mentor junior engineers and shape engineering culture.

🎯 Requirements

  • Full ML lifecycle understanding; experience operationalising models with TensorFlow or PyTorch.
  • Strong software engineering background and Python proficiency for robust, reusable systems.
  • Hands-on cloud experience (AWS, Azure, GCP) including architecture, security, and infra.
  • Experience with Docker and Kubernetes for scalable apps.
  • Ability to work in fast-paced, high-growth environments with ownership.
  • Excellent communication to guide technical teams and non-technical stakeholders.

🎁 Benefits

  • Hybrid working
  • Unlimited annual leave
  • Private healthcare and dental
  • Enhanced parental leave
  • Family-friendly flexibility
  • Sanctus coaching
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