2 of 2 Remote Data Pipeline Jobs in Cambridge

SAST/SCA findings, fuzzing results) in a scalable, tool-agnostic fashion. Develop and maintain ETL pipelinesand database schemas for high-throughput ingestion and historical trend analysis. Expose data via well-documented REST APIsfor dashboards, automation, and downstream integrations. Collaborate with security and engineering teamsto define metrics, alerts, and dashboard views that surface critical trends and anomalies. Instrument … observabilityand performance monitoring (metrics, dashboards) to ensure maximum throughput and reliability. Develop custom solutionsfor aggregating BOMs into hierarchical system views and conducting searches across products. Documentprocesses, data models, and operational runbooks to enable smooth adoption. Required Skills and Experience Strong coding ability inPythonand comfortable in scripting (e.g. bash). Shown experience building backend services and data … SAST and SCA tools (e.g., Coverity, Black Duck) and experience understanding their findings. Experience defining and visualizing key security and performance metrics within dashboard solutions. Experience with security data formats (e.g. SARIF) Join us to build the foundational security platform that elevates visibility across Arm-apply today! Accommodations at Arm At Arm, we want to build extraordinary teams. More ❯

Engineer Location: Cambridge (Hybrid) Salary: £60,000 – £70,000 + Share Options A growing AI company is developing intelligent imaging software that applies advanced machine learning to medical data, improving diagnostic accuracy and speed. As a Senior Machine Learning Engineer, you’ll design, train and deploy ML models for medical image analysis, working with a highly skilled team … AI, healthcare and software engineering. Responsibilities Develop and optimise ML models for medical image processing and analysis Build and integrate AI pipelines within scalable production environments Collaborate with data, clinical and software teams to ensure robust, validated outputs Skills & Experience MSc/PhD in Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with … on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and private healthcare Flexible hybrid working 28 days’ holiday + bank holidays If this position seems like More ❯