Faculty is a company that specializes in AI and has worked with over 350 global customers. They're looking for a MLOps Engineer to join their Life Sciences team, which focuses on building AI solutions for the research and commercialization of life-changing therapies.
Requirements
- Understanding of the full machine learning lifecycle
- Experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch
- Strong Python skills and solid experience in software engineering best practices
- Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP)
- Experience with container and orchestration tools (e.g., Docker & Kubernetes)
- Knowledge of core ML concepts (e.g., probability, statistics, and common learning techniques)
- Excellent communication skills
- Ability to thrive in a fast-paced environment and take ownership of scope, solutions, and delivery
Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working