Senior Machine Learning Software Engineer

Lead technical scoping and architectural decisions for high-impact machine learning systems

Design, build and deploy production-grade ML software, tools and scalable infrastructure

Operationalise machine learning models and support the full ML lifecycle

Establish best practices for deploying and maintaining ML systems at scale

Work closely with software engineers, data scientists, product managers and commercial teams

Advise clients and stakeholders, translating complex technical concepts into practical solutions

Mentor junior engineers and contribute to engineering standards and best practices

Ensure solutions meet operational, security and ethical standards

Strong commercial experience in Machine Learning Engineering

Strong Python skills and a solid software engineering background

Experience operationalising models using frameworks such as PyTorch or TensorFlow

Hands-on experience with AWS, Azure or GCP, including cloud architecture, security and infrastructure

Experience with Docker and Kubernetes for containerisation and orchestration

Understanding of scalable, production-grade ML systems and infrastructure

Experience working in fast-paced environments, taking ownership of projects and delivering solutions autonomously

Strong communication skills, with the ability to engage technical teams and senior stakeholders

Desirable: Consultancy experience, client-facing technical leadership and experience delivering AI solutions across multiple industries.

Opportunities to work on impactful AI projects across a range of industries

Exposure to complex technical challenges and modern machine learning technologies

Opportunities for technical leadership, mentoring and professional development

Collaborative environment with experienced engineers, data scientists and AI specialists

We welcome applications from candidates with diverse backgrounds and encourage those who meet many, but not necessarily all, of the requirements to apply.