Nominal is seeking a Staff Machine Learning Engineer for Time Series & Statistical Methods in London, working in-office on a full-time basis. You will advance anomaly detection, forecasting, and sensor data analytics, delivering robust ML tooling for hardware AI applications.
You will lead initiatives across statistics, signal processing, and deep learning, guiding method selection and ensuring reliable deployment within production systems.
Staff ML Engineer: Time Series & Statistical Methods employer: Nominal
At Nominal, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Mission Operations Engineer, you'll not only engage with cutting-edge technology but also enjoy ample opportunities for professional growth and development while working alongside industry leaders in a fast-paced environment. Our commitment to employee well-being is reflected in our supportive team atmosphere and the chance to make a significant impact on high-stakes projects that shape the future of hardware systems.
