Machine Learning Engineer II (UK) at Jobgether

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Machine Learning Engineer II (UK) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer II in the United Kingdom.. We are seeking a Machine Learning Engineer II to join a high-impact applied ML team focused on building scalable AI-driven solutions for real-world applications. In this role, you will design, implement, and deploy machine learning models and systems that deliver valuable insights and experiences at scale. You will collaborate closely with data scientists, engineers, and product teams to ensure solutions are efficient, robust, and customer-focused. The ideal candidate thrives in a fast-paced, innovative environment, enjoys problem-solving, and has hands-on experience in deep learning, computer vision, or other ML domains. You will have opportunities to influence product strategy, optimize ML pipelines, and contribute to advanced AI solutions deployed across cloud and edge environments.. . Accountabilities:. Develop, train, and deploy machine learning models and systems for production environments.. Collaborate with cross-functional teams to design end-to-end ML solutions.. Implement and optimize computer vision and deep learning pipelines at scale.. Monitor model performance, handle retraining, and address model drift.. Contribute to software development in Python, C++, and associated ML frameworks.. Stay current with ML research, frameworks, and best practices to continuously improve solutions.. Hands-on experience with Python and C++, with strong programming skills.. Familiarity with ML frameworks and tools such as PyTorch, TensorRT, MLOps pipelines, Kubernetes, and AWS.. Experience deploying ML models in cloud and/or edge environments.. Strong analytical and problem-solving skills with a growth mindset.. Excellent communication skills, capable of explaining complex technical concepts to cross-functional stakeholders.. Experience in video, real-time systems, embedded devices, or foundational models is a plus.. Demonstrated ability to work collaboratively in a fast-paced, innovative environment.. . Company Location: United Kingdom.