Senior Machine Learning Engineer About the Role Are you ready to redefine how logistics operates in a rapidly evolving world? HUG is proud to be collaborating with an innovative start up that’s revolutionising delivery through smarter, more sustainable solutions. Their mission is to create systems that benefit communities, reduce environmental impact, and enhance the customer experience. This is your chance to join a rapidly growing team at the forefront of logistics innovation, creating impactful technology that’s reshaping how goods move in the modern world. With recent funding secured and ambitious growth plans underway, there’s never been a more exciting time to come on board. Responsibilities Develop and deploy ML models for various logistics applications. Engineer features and set up ML infrastructure. Collaborate with wider technology and operations teams. Spend time in the field to understand technology impact. Requirements 2 years experience deploying ML models in production. 4 years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible hybrid working from a dog-friendly London office. Free gym membership. Cycle-to-work scheme. Culture of learning and growth. Team social events.