13 of 13 Permanent Anomaly Detection Jobs in London

model training, deployment, and monitoring using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule-based profiling, anomaly detection, and GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda … and Historian systems. Information Modeling:Experience in defining semantic layers, asset hierarchies, and contextual models. Data Governance:Hands-on experience Data Quality:Ability to implement profiling, cleansing, standardization, and anomaly detection frameworks. Security & Compliance:Knowledge of data privacy, access control, and secure data exchange protocols. Defining and creating MLOPs pipeline Good to Have Skills GenAI Exposure:Experience More ❯

Processing thousands of energy data points per second from diverse operational sources, handling massive volumes of energy data while running sophisticated classification and anomaly detection models in real-time, maintaining comprehensive data lineage, and delivering insights through high-performance platforms used by energy operators globally requires exceptional engineering and scientific expertise. This processing demands models that can … everything from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations. The team has built a comprehensive suite of statistical and machine learning models that enable us to provide the most accurate … process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in an intellectually engaging environment with top energy More ❯

with a global financial asset manager on a key leadership hire - an Engineering Lead to spearhead the design, development, and modernization of cutting-edge transaction monitoring and fraud detection systems. This is a rare opportunity to lead a high-performing team and shape the future of fraud prevention and financial crime technology within one of the world's … business evolves. Key Responsibilities: Lead and develop a cross-functional team of engineers, fostering a culture of trust, inclusion, and technical excellence. Architect and deliver a bespoke fraud detection and transaction monitoring platform using modern cloud and data technologies. Collaborate closely with product, data science, and financial crime experts to define the technical strategy and vision. Champion engineering … engineering and automation TypeScript, Node.js, React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Experience with modern DevOps practices (CI/CD, Terraform, CloudFormation). If you have the skills and experience required and you're More ❯

with a global financial asset manager on a key leadership hire - an Engineering Lead to spearhead the design, development, and modernization of cutting-edge transaction monitoring and fraud detection systems. This is a rare opportunity to lead a high-performing team and shape the future of fraud prevention and financial crime technology within one of the world's … business evolves. Key Responsibilities: Lead and develop a cross-functional team of engineers, fostering a culture of trust, inclusion, and technical excellence. Architect and deliver a bespoke fraud detection and transaction monitoring platform using modern cloud and data technologies. Collaborate closely with product, data science, and financial crime experts to define the technical strategy and vision. Champion engineering … engineering and automation TypeScript, Node.js, React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Experience with modern DevOps practices (CI/CD, Terraform, CloudFormation). If you have the skills and experience required and you're More ❯

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 position offers the opportunity to influence not just their engineering … written and verbal communication skills, 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 processing. Advanced degree or equivalent More ❯

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 position offers the opportunity to influence not just their engineering … written and verbal communication skills, 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 processing. Advanced degree or equivalent More ❯

and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based … crisp docs. Bonus points DevOps wizardry; GPU/accelerator experience. Multimodal pipelines (text + voice + screenshots). Prior experience in contact center/CX analytics or novelty/anomaly systems. Founder or founding engineer experience More ❯

engagement management, stakeholder management, and business development. Mastery of enterprise architecture components, business/IT principles, and organisational processes. Experience applying AI/ML across corporate functions (e.g., financial anomaly detection, HR attrition prediction, procurement spend analytics). Competencies Exceptional analytical, planning, and organisational capabilities, with strong situational awareness and political acumen. Balances long-term strategic vision More ❯

implementing cost-saving initiatives that delivered measurable results across cloud infrastructure, inclusive of AWS. Hands-on experience with AWS Cost Explorer, Budgets, Cost and Usage Reports, and AWS Cost Anomaly Detection. Proven cost optimisation across developer tools, such as GitHub Actions and Azure Pipelines. Experience with DataDog or similar SaaS based observability platforms to inform decision making. Strong background More ❯

business and technical stakeholders to support consumption forecasts, budget planning, and financial reporting. Lead on implementation of tooling and practices that allow for near real-time cloud cost monitoring, anomaly detection, and forecasting. Drive the use of automation and tagging policies to support cost attribution and operational transparency. Ensure FinOps capabilities are embedded across Continuous Integration/ More ❯

scanning, tagging, and artifact management. Write and own SOPs for secure deployment and incident response aligned to ISO 27001 and IEC Extend observability through CloudWatch/ELK stack dashboards, anomaly detection, and alerting for security and performance monitoring. Support Transformation team by resolving any security queries that clients might have in their onboarding & deployment What success looks … pipelines with automated alerts and reporting 6 months Mature pipelines to support automated tests, security gates, and gated deploys across all services 12 months Implement full-stack observability with anomaly alerts and dashboards for security and reliability using the ELK stack Requirements Have deep expertise in: Cloud Infrastructure (AWS): EC2, S3, RDS, IAM, VPC, CloudWatch, CloudTrail, Lambda, SQS/ More ❯

telecommunications Ability to understand the work of BT's technical teams, e.g. in areas such as: cybersecurity, quantum key distribution, optical networks, content delivery, network service orchestration, and network anomaly detection Preferably, experience in one or more of: instructing overseas prosecution, oral advocacy, appeal proceedings, IP education, IP disputes, reviewing IP terms, advising on complementary IP rights More ❯

You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. Strong communicator. You can easily and More ❯