Senior ML Engineer

Our client is building AI-powered applications that help people manage everyday activities with less effort. The product is designed to understand ongoing context, support extended workflows, and complete practical tasks reliably, aiming to simplify everyday organisation.

• Proven track record delivering ML solutions deployed in real products.
• Practical understanding of modern model capabilities, limitations, and failure patterns in production.
• Strong software engineering skills focusing on maintainable code and coherent system design.
• Ability to take responsibility for complex work, operate independently, and complete delivery.
• Adaptable learning approach, clear communication, and willingness to improve through testing and feedback.

Ideal Experience:

• Experience with Python.
• Familiarity with deep learning frameworks such as PyTorch and JAX.
• Experience with GPU infrastructure for model training and inference.

• Develop ML capabilities behind an AI product that anticipates user needs and manages tasks over extended periods.
• Lead delivery across full lifecycle: dataset preparation, model training, validation, serving, and ongoing refinement.
• Translate research approaches into reliable production implementations.
• Investigate model behavior and operational failures using evidence from live systems.
• Run short development cycles, assess results, and guide improvements.
• Collaborate with researchers, product specialists, and software engineers to deliver capabilities.
• Support ML engineers via code reviews, mentoring, and technical guidance.
• Make engineering decisions balancing response times, operating costs, reliability, and safety.