Lead Machine Learning Engineer

Overview

Lead the technical direction and delivery of complex AI initiatives within a regulated services context. Collaborate with cross-functional teams to design scalable ML systems, justify architecture choices, and guide multi-workstream delivery. Mentor engineers, drive adoption of new technologies, and act as a trusted technical advisor for clients. This role combines deep ML expertise with leadership to build reusable solutions that advance responsible AI at scale.

Pay / Benefits

• Unlimited Annual Leave Policy
• Private healthcare and dental
• Enhanced parental leave
• Family-Friendly Flexibility & Flexible working
• Sanctus Coaching
• Hybrid Working

Responsibilities

• Set technical direction for complex ML projects and align priorities
• Design, implement, and maintain scalable ML/software systems with architectural justification
• Define problems, create roadmaps, and oversee multi-workstream delivery in high-risk environments
• Develop shared resources and libraries; mentor engineers to contribute
• Lead hiring processes and mentor team members to foster growth
• Introject new technologies and adapt ways of working to stay ahead
• Act as technical expert and coach for customers; estimate large workstreams and defend rationale
• Lead client-facing discussions and ensure successful project outcomes

Key requirements

• Strong Python skills with hands-on experience deploying models using Scikit-learn, TensorFlow, or PyTorch
• Expert in at least one major Cloud Provider (Azure, GCP, AWS) with experience leading full-stack web apps
• Hands-on experience with Docker and Kubernetes
• Proven ability to manage and coach a team of engineers toward client delivery goals
• Ability to propose novel solutions and take ownership of project outcomes
• Excellent communicator, capable of guiding both technical teams and non-technical stakeholders
• excellent communication
• leadership
• mentoring
• Python
• Scikit-learn
• TensorFlow

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