13 of 13 Remote Anomaly Detection Jobs

test, and verification & validation. Activities span low TRL research, prototype development, demo construction, and transition to production, with a focus on computer vision solutions (anomaly detection, object detection, segmentation) and large language model implementations (RAG, agentic frameworks). As a key member ...

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This … especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data ...

solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills ...

solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills ...

Define and implement data quality rules (validity, completeness, uniqueness, timeliness, conformity, integrity) across ingestion, transformation, and serving layers. Build automated DQ testing and observability (anomaly detection, SLAs/SLOs) within CI/CD and orchestration workflows. Develop golden datasets and remediation playbooks; drive root‐cause analysis ...

classes, data modeling, reconciliation, normalization, and health dashboards. Event Management : Expertise in alert ingestion, correlation, suppression, and integrations with monitoring tools. AIOps : Experience with anomaly detection, ML models, and automation workflows. Cloud & Hybrid Environments : Exposure to AWS, Azure, GCP, and hybrid infrastructure. Data Governance : Familiarity with CMDB ...

Security Cloud Engineer, CISSP, CISM, or similar. Collaboration experience with MS Teams\Zoom collaboration. Identity AI adoption for risk-based access analytics and behavioural anomaly detection. Should this position be of interest please submit your CV and I will be in contact as required. Guidant, Carbon60, Lorien ...

role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly … jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with ...

policy engines Experience with token analysis or credential hygiene Familiarity with cloud IAM (AWS/GCP/Azure) Experience with risk scoring or anomaly detection Understanding of graph databases or unified identity graphs Prior cybersecurity or identity experience Product leadership or prior founder experience Why should ...

technologies. This includes: Identifying Opportunities: Evaluating how AI/ML can enhance i2 Group’s core intelligence analysis capabilities, particularly within areas like anomaly detection, predictive analytics, and automated investigation support. Technology Assessment: Staying informed on the latest advancements in AI/ML algorithms, platforms, and tools ...

safety tools (e.g., Responsible AI Toolbox, Deepchecks) Familiarity with Azure AI Foundry and LLM compliance testing frameworks Prompt injection testing and AI behaviour anomaly detection This is a great role, and an awesome time to join this business as they expand their artificial intelligence team. For more ...

safety tools (e.g., Responsible AI Toolbox, Deepchecks) Familiarity with Azure AI Foundry and LLM compliance testing frameworks Prompt injection testing and AI behaviour anomaly detection This is a great role, and an awesome time to join this business as they expand their artificial intelligence team. For more ...

large volumes of digital records, traditional manual methods struggle to scale. This project introduces a novel approach by modeling transactions as graphs, enabling detection of anomalies such as fraud or misstatements. Your work will help auditors identify high-risk transactions efficiently and reliably, while ensuring transparency through Explainable … neural networks. Interest in financial systems and audit processes is a plus. What will you do? Explore and implement Graph Neural Network architectures for anomaly detection. Apply representation learning techniques to financial transaction graphs. Integrate Explainable AI methods to ensure interpretability of flagged anomalies. Collaborate with researchers and auditors ...