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).