Head of Machine Learning
We're partnering with an innovative AI-first technology company on a mission to redefine how people manage tasks, conversations, organisation, and workflows.
Their flagship product is an intelligent assistant designed to help users achieve more with less effort through advanced reasoning, persistent context, long-running workflows, and autonomous task execution.
As the company enters its next phase of growth, they are seeking an exceptional Head of Machine Learning to lead the technical direction, delivery, and scaling of their machine learning platform.
The Opportunity
This is a rare opportunity to join a high-calibre team building AI products at the cutting edge of machine learning and intelligent systems.
As Head of Machine Learning, you will own the ML vision and execution strategy, leading the development of scalable training, evaluation, inference, and deployment systems that power real-world AI experiences. Working closely with product, engineering, and research teams, you'll bridge the gap between innovation and production, ensuring advanced ML capabilities deliver measurable value to users.
Key Responsibilities
- Define and drive the machine learning roadmap and technical strategy.
- Lead, mentor, and grow a high-performing team of ML engineers.
- Own end-to-end machine learning systems, including data pipelines, model training, evaluation frameworks, deployment, and observability.
- Drive adoption of advanced model optimisation techniques such as LoRA, QLoRA, DPO, SFT, and distillation.
- Architect scalable inference infrastructure balancing performance, reliability, latency, and cost.
- Establish best practices around experimentation, model governance, monitoring, and production operations.
- Partner closely with product and engineering teams to integrate machine learning capabilities into customer-facing applications.
- Foster a culture of technical excellence, ownership, and rapid execution.
What We're Looking For
- Proven experience leading machine learning teams in production environments.
- Strong track record building and deploying customer-facing ML or AI systems at scale.
- Deep understanding of modern machine learning architectures, large language models, and model optimisation techniques.
- Experience designing and scaling ML infrastructure, training platforms, and inference systems.
- Strong software engineering foundations with expert-level Python skills.
- Ability to balance strategic thinking with hands-on technical leadership.
- Comfortable operating within a fast-paced, high-growth environment.
Technology Environment
- Python
- PyTorch
- JAX
- Large Language Models (LLMs)
- GPU Training & Inference Infrastructure
- Distributed ML Systems
Why Join?
- Help shape the future of AI-powered productivity.
- Work alongside a small, highly talented team with exceptional technical depth.
- Influence product, platform, and machine learning strategy from day one.
- Solve challenging problems at the intersection of AI research, engineering, and real-world deployment.
- Play a key role in building technology that can impact millions of users globally.
If you're passionate about building production-grade AI systems and leading teams that turn cutting-edge machine learning research into real-world products, we'd love to hear from you.