Nominal is seeking a Staff Machine Learning Engineer, Time Series & Statistical Methods, to empower our agents with real numerical tools for hardware data. You’ll guide ML strategy for high-rate telemetry and testing campaigns, bridging classical methods and deep learning.
Join a collaborative, high-agency team building AI-native applications and agents. You’ll mentor engineers, ship reliable code, and help set the roadmap for ML at Nominal, from signals to forecasts across a diverse hardware
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Staff ML Engineer: Time Series & Anomaly Detection in London 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.
