22 of 22 Permanent Anomaly Detection Jobs in London

About the Role Grade Level (for internal use): 11. The AIOps team is responsible for modernizing IT operations through intelligent observability, event correlation, anomaly detection, predictive insights, and automation. They partner with AIOps vendors, IT Operations, infrastructure, platform engineering, SRE, service management, and application teams to reduce … events, and topology data to improve visibility across cloud, on‐premises, and hybrid environments. Implement AIOps use cases, including noise reduction, event deduplication, correlation, anomaly detection, root cause analysis, and predictive alerting. Partner with engineering teams to build automated remediation and self‐healing workflows integrated with observability ...

stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security … experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical ...

stories, acceptance criteria, and prioritized backlog items across the AIOps product lifecycle.* Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation.* Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security … experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles.* Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation.* Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical ...

quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Bank, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving. You will be responsible for driving the development of our core … work experience Excellent programming skills, predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (e.g., Know Your Client, anomaly detection/Machine Learning, project management) Excellent interpersonal skills with the ability to collaborate and partner with various teams ...

Role We are seeking a Data Scientist to work on advanced analytical solutions across biometric and geospatial (GPS) datasets, with a particular focus on anomaly detection. You will work with multiple complex data streams, including biometric data captured via wearable technologies and location-based datasets. This role will suit … technical direction in a fast-paced, evolving environment with minimal structure. Key Responsibilities Develop and deploy data science models, with a focus on anomaly detection Work across multiple datasets, including biometric and GPS/location data Analyse and interpret data generated from wearable hardware devices Collaborate with ...

learning models and inference systems using complex sensor and telemetry data. Analyse multivariate time-series datasets to identify behavioural patterns and operational insights. Build anomaly detection and behavioural baselining models. Translate raw telemetry streams into meaningful, actionable intelligence. Work with streaming and low-latency data architectures … data and signal processing. Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets. Strong understanding of multivariate time-series modelling. Experience developing anomaly detection and behavioural baselining solutions. Ability to take machine learning solutions from research and experimentation into production environments. Experience solving complex problems ...

goes next, what we retire, and what we keep. Treat the network as a system that learns. Drive the use of AI in operations: anomaly detection across flow and streaming telemetry, predictive failure analysis on optical and routing layers, automated triage and runbook execution, traffic‐engineering … billing integrations. Enough to debug jointly with the Systems team, not to own the stack. Exposure to applying ML or AI in network operations (anomaly detection on telemetry, predictive failure analysis, automated remediation, model‐informed traffic engineering). We're not looking for a researcher ...

/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g., AWS AgentCore). Define and govern DevOps, platform engineering and observability ...

Product, Vendors, and other stakeholders. We’d love to see: Bloomberg Terminal, BQL, Enterprise, or Bloomberg data workflow experience. Experience productionizing AI, machine learning, anomaly detection, NLP, classification, or LLM‐assisted workflows. Experience with cloud platforms, CI/CD, automated testing, version control, metadata management, lineage ...

Build and optimize monitoring, observability, and alerting capabilities using tools such as Prometheus, Grafana, AppDynamics, and Splunk. Apply AIOps capabilities to improve event correlation, anomaly detection, root cause analysis, predictive insights, and proactive issue prevention. Partner with engineering, infrastructure, production support, security, and risk teams to ensure ...

analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed ...

Data, Bloomberg Terminal, and/or enterprise financial data products Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection Past project experience using Agile/Scrum methodologies to manage complex data lifecycles Experience customizing or developing annotation interfaces using Javascript ...

management, BI, CDP/CRM, ad platforms, experimentation, consent/privacy, data warehouses) including build vs buy vs partner recommendations. Build proactive insight systems: anomaly detection, opportunity surfacing, segmentation, attribution-informed signals, and next best actions that guide teams to outcomes. Ensure Analytics actively powers other pillars ...

Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real‐time cost‐anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform ...

processes that strengthen our data foundations - ensuring our data is accurate, observable, and compliant.Your mission will be to reduce the mean time to detection and resolution of data incidents, by establishing data contracts between producers and consumers, developing robust data observability systems, and embedding governance and GDPR compliance … stakeholder management skills; you can bridge technical depth with operational impact.Bonus PointsExperience implementing automated compliance monitoring or policy-as-code systems.Familiarity with real-time anomaly detection for data pipelines.Experience contributing to or leading cross-functional data reliability initiatives.Prior experience in consumer or marketplace platforms.Passion for data ...

solution delivery in enterprise environments.Proven experience building and deploying end-to-end Machine Learning pipelines in production.Strong knowledge of ML (regression, classification, clustering, anomaly detection) and deep learning (PyTorch and/or TensorFlow).Hands-on experience with Generative AI, including LLMs, RAG systems, and agent-based applications.Strong ...

data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python ...

frameworks, and adaptive access controls. Collaborate with the Senior Architect Information Security and lead the implementation of identity governance automation, leveraging machine learning for anomaly detection and remediation. Ensure seamless integration of multi-factor authentication (MFA) with biometric and mobile device capabilities to improve both security … user experience. Champion the adoption of identity threat detection and response (ITDR) solutions to proactively identify and mitigate identity-based attacks. Develop and maintain the firm's IAM architecture, including identity lifecycle, access governance, and privileged access controls. Design secure authentication and authorization patterns (OpenID Connect, SAML, OAuth ...

/Service/Marketing Cloud, integrations, or Apex best practices). Experience applying AI/ML in engineering workflows (e.g., coding assistants, test generation, anomaly detection, intelligent routing) or product features. Background in leading distributed teams and large‐scale refactoring or platform modernisation initiatives. Key Behaviours & Attributes ...

growing a high-quality code base. The role requires strong data science skills, data integration expertise, and proficient Python programming, with a focus on anomaly detection and Know Your Customer controls. Hybrid work options are available. #J-18808-Ljbffr ...

onsite in London. You will own the product roadmap, translate operations needs into concrete requirements, and drive high-impact capabilities such as noise reduction, anomaly detection, and automated remediation across IT operations and SRE teams. You will partner with technical and security teams to deliver enterprise-grade ...

AIOps roadmap, translating complex operational needs into concrete product requirements and backlog items. You will lead high-impact capabilities like noise reduction, event management, anomaly detection, and proactive remediation, partnering across IT Ops, SRE, and security to scale adoption. You will define success metrics for alert quality ...