Experienced and forward-thinking Head of ML Ops required to lead the design, development, and scaling of cutting-edge machine learning operations within a high-impact, data-driven environment. This is a unique opportunity to shape ML Ops strategy, mentor a growing team, and drive best-in-class practices across the full ML lifecycle. The Role As Head of ML Ops, you will take ownership of building and evolving robust, scalable, and production-ready ML systems. Youll play a key role in bridging data science and engineering, ensuring seamless deployment, monitoring, and maintenance of machine learning models in production. Key Responsibilities Lead and mentor a team focused on delivering industry-leading ML Ops solutions Drive the design and implementation of scalable ML pipelines and infrastructure Manage and maintain existing data science tools, platforms, and in-house Python libraries Collaborate closely with data scientists, engineers, and stakeholders to productionise models effectively Establish and promote best practices in CI/CD, testing, monitoring, and model governance Key Requirements Approximately 5+ years of experience in a similar ML Ops, DevOps, or platform engineering role Strong background in DevOps practices and/or full-stack engineering Proven experience leading a team, or a clear desire to step into a people management role Hands-on experience with containerisation technologies such as Docker and Kubernetes Strong programming skills, ideally in Python, and experience supporting ML workflows in production What Youll Bring A strategic mindset with a passion for building scalable ML systems Strong leadership and communication skills A collaborative approach with the ability to influence across technical teams A drive to continuously improve processes, tooling, and team capability Why Apply? Opportunity to shape and lead ML Ops in a growing, innovative environment Work on complex, real-world problems with modern technologies Clear progression path with leadership impact