9 of 9 Pattern Recognition Jobs

processing petabyte-scale simulation and real-world vehicle logs. Apply modern AI/ML methods (e.g., LLMs/VLMs, time-series anomaly detection, statistical pattern recognition, and causal inference) to automatically isolate failure modes across perception, planning, control, and vehicle platform layers. Integrate automated triaging into continuous integration … logging formats (e.g., ROS/ROS2, MCAP, Protobuf, CAN logs), and cloud data storage. Preferred Qualifications: Demonstrated experience applying LLMs/VLMs, sequence modeling, pattern recognition, or vector embeddings to log classification, failure mode retrieval, or automated root cause analysis. In-depth understanding of autonomous driving software architectures ...

detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate … detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate ...

detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate … detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate ...

detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate … detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate ...

thrilled to announce that our client has been named one of theSunday Times Top 100 Medium-Sized Companies to Work For in 2025a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Our client is recruiting … secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts ...

part of larger systems supporting customer mission needs. Depending on the assignment, explore or apply artificial intelligence and machine learning techniques to data analysis, pattern recognition, prediction, optimization, or other engineering problems. Proactively communicate with project mentors, provide status updates, and critically think through challenges. Summer 2027 Student ...

fusion, datalinks, and/or weapons and their interactions 2+ years' experience with data fusion engines, kinematic correlation techniques and Kalman filters Experience with pattern recognition, multi-modal sensor data fusion, sensor calibration and visualization technologies Preferred Qualifications (Desired Skills/Experience): 3 or more years' related work ...

output generation - Optimize software for high throughput and low latency using parallel, GPU, or distributed computing methods - Apply numerical methods, filtering, spectral analysis, and pattern recognition techniques in production-quality code - Work closely with scientists, engineers, and data specialists while contributing to architecture and technology decisions - Must have ...

higher English proficiency at B2 or higher Experience in customer-facing roles with outcome-driven engagement Comfort with data, dashboards (e.g., Metabase), and pattern recognition Experience with systems like Planhat, HubSpot, and Intercom is valued Self-starter with entrepreneurial mindset and ability to innovate independently Adaptability and enthusiasm ...