Machine Learning Engineer

About the Company I’m currently working on an exciting opportunity for a Machine Learning Engineer to join a rapidly growing AI organisation working on some genuinely high-impact projects across National Security, Government and cutting-edge technology. About the Role This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure. Responsibilities * Building and deploying production-grade ML software, tools and infrastructure * Developing scalable and reusable ML solutions * Working closely with engineers, data scientists and clients * Contributing to technical architecture and solution design * Helping define best practices for deploying ML at scale * Advising clients and translating complex ML concepts into practical solutions Qualifications * Strong Python and software engineering experience * Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch * Strong understanding of the machine learning lifecycle * Experience with AWS, Azure or GCP * Hands-on experience with Docker and Kubernetes * Solid understanding of ML fundamentals, probability and statistics * Strong communication skills and the ability to work with both technical and non-technical stakeholders Required Skills * Strong Python and software engineering experience * Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch * Strong understanding of the machine learning lifecycle * Experience with AWS, Azure or GCP * Hands-on experience with Docker and Kubernetes * Solid understanding of ML fundamentals, probability and statistics * Strong communication skills and the ability to work with both technical and non-technical stakeholders Preferred Skills * Experience with AWS, Azure or GCP * Hands-on experience with Docker and Kubernetes Due to the nature of the work, candidates may need to be eligible for UK Developed Vetting (DV).