Senior Machine Learning Engineer

Overview

In this role you will lead the end-to-end development and deployment of scalable, production-grade ML systems for diverse clients in life sciences. You’ll shape architecture, standards, and best practices while collaborating with cross-functional teams. You’ll translate complex concepts for customers and mentors to grow our engineering culture. This is a chance to drive significant impact through responsible AI at scale.

Pay / Benefits

• Unlimited Annual Leave
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Hybrid Working (2 days in Old Street office, London)
• Sanctus Coaching

Responsibilities

• Lead technical scoping and architectural decisions for high-impact ML systems
• Design and build production-grade ML software, tools, and scalable infrastructure
• Define and implement best practices for deploying machine learning at scale
• Collaborate with engineers, data scientists, product managers, and commercial teams to solve client challenges
• Act as a trusted technical advisor to customers and partners, translating concepts into actionable strategies
• Mentor and develop junior engineers, shaping the team’s engineering culture and depth

Key requirements

• Understanding of the full ML lifecycle with hands-on experience deploying models using TensorFlow or PyTorch
• Strong software engineering background with Python, building robust, reusable systems
• Extensive experience with cloud platforms (AWS, Azure, GCP) including architecture, security, infrastructure
• Significant experience with Docker and Kubernetes for scalable applications
• Ability to work autonomously in fast-paced, high-growth environments
• Excellent communication skills, able to guide technical and non-technical stakeholders

• clear communication
• ownership and autonomy
• cross-functional collaboration
• TensorFlow
• PyTorch
• Python

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