1 to 25 of 105 Anomaly Detection Jobs in London

AI & Intelligent Data Automation Experience integrating AI/ML-driven insights into data management products to enhance data quality, lineage tracking, and transformation recommendations. Strong understanding of predictive analytics, anomaly detection, and semantic data enrichment for operational intelligence. Security, Governance & Observability Deep knowledge of data security, compliance, and governance best practices for enterprise data platforms. Experience embedding More ❯

effectively with stakeholders across data, governance, and infrastructure. Experience in defining quality strategies , driving process improvements, and implementing automation in large-scale data platforms. Knowledge of data observability and anomaly detection tools (preferred). Industry experience in financial services, insurance, or regulated environments (not essential, but preferred). This role is an excellent opportunity for a Lead More ❯

effectively with stakeholders across data, governance, and infrastructure. Experience in defining quality strategies , driving process improvements, and implementing automation in large-scale data platforms. Knowledge of data observability and anomaly detection tools (preferred). Industry experience in financial services, insurance, or regulated environments (not essential, but preferred). This role is an excellent opportunity for a Lead More ❯

maintain, performance tune, and respond to incidents on our big data pipeline infrastructure. Build out observability and intelligent monitoring of data pipelines and infrastructure to achieve early and automated anomaly detection and alerting. Present your research and insights to all levels of the company, clearly and concisely. Build solutions to continually improve our software release and change More ❯

and optimize data pipelines to ensure performance and cost efficiency. Implement data governance, access controls, and security measures in line with best practices and regulatory standards. Develop observability and anomaly detection tools to support Tier 1 systems. Work with engineers and business teams to gather requirements and translate them into technical solutions. Maintain documentation, follow coding standards … technical and non-technical teams. Additional Strengths Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent … Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub Actions, Jenkins, etc.)? Select Which option best describes your experience building observability and automated anomaly detection tooling for data pipelines? Select What best describes your current location and working rights status? Select By submitting your application, you confirm that you have read More ❯

pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Head of Data Science - AdTech/SaaS/Fraud or Anomaly Detection Job Summary : We seek an experienced and visionary Head of Data Science to join our growing team. In this role, you will bring thought leadership and More ❯

models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model training MLOps - Deployment into production More ❯

annotations. Experience in using Bloomberg 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 the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get More ❯

industry certifications (e.g. DAMA CDMP, DCAM, etc.) Keen interest and familiarity with generative AI frameworks. Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get More ❯

Route Optimization: Use data analytics to identify the most efficient routes. Optimized routing not only shortens travel time but also makes ETA predictions more reliable. 5. Machine Learning for Anomaly Detection: Implement machine learning algorithms to detect anomalies that could affect delivery times, such as unexpected traffic jams or vehicle breakdowns, and adjust ETAs accordingly. 6. Sensor More ❯

/Java/Scala/etc.) Experience working with imbalanced datasets and applying appropriate techniques Experience with time series data, including preprocessing, feature engineering, and forecasting Experience with outlier detection and anomaly detection Experience working with various data types: text, image, and video data Familiarity with AI/ML cloud implementations (AWS, Azure, GCP, NVidia More ❯

technical and non-technical teams. Bonus Points For: Experience with orchestration tools like Apache Airflow. Familiarity with real-time data processing and event-driven systems. Knowledge of observability and anomaly detection in production environments. Exposure to visualization tools like Tableau or Looker. Relevant cloud or data engineering certifications. What’s Offered: Competitive salary with two annual discretionary More ❯

technical and non-technical teams. Bonus Points For: Experience with orchestration tools like Apache Airflow. Familiarity with real-time data processing and event-driven systems. Knowledge of observability and anomaly detection in production environments. Exposure to visualization tools like Tableau or Looker. Relevant cloud or data engineering certifications. What’s Offered: Competitive salary with two annual discretionary More ❯

for problem-solving. Preferred Skills: Interest and familiarity with generative AI frameworks. Knowledge of data governance and management, supported by industry certifications (e.g., DAMA CDMP, DCAM). Experience with anomaly detection methodologies. Experience with Agile/Scrum project management methodologies. If this sounds like you, apply to join our team. We will contact you with the next More ❯

technical and non-technical teams. Bonus Points For: Experience with orchestration tools like Apache Airflow. Familiarity with real-time data processing and event-driven systems. Knowledge of observability and anomaly detection in production environments. Exposure to visualization tools like Tableau or Looker. Relevant cloud or data engineering certifications. What’s Offered: Competitive salary with two annual discretionary More ❯

core ledger systems, transaction processors, credit bureaus, open banking APIs, and third-party providers. Implement and maintain robust processes to ensure data accuracy, completeness, and reliability. Implement automated checks, anomaly detection, and data validation routines. Deliver production-ready datasets that power credit decision engines, risk models, and affordability assessments in real time. Work closely with credit risk More ❯

retrieval systems or search engine development. Experience with OSINT or intelligence analysis tools and methodologies. Understanding of data privacy regulations and security considerations. Experience with time series analysis and anomaly detection. Familiarity with A/B testing and experimentation design. Experience working with PAI sources and analytical techniques. Knowledge of graph databases and network analysis for relationship mapping. Open More ❯

and optimize data pipelines to ensure performance and cost efficiency. Implement data governance, access controls, and security measures in line with best practices and regulatory standards. Develop observability and anomaly detection tools to support Tier 1 systems. Collaboration & Continuous Improvement Work with engineers and business teams to gather requirements and translate them into technical solutions. Maintain documentation … technical and non-technical teams. Additional Strengths Experience with orchestration tools like Apache Airflow. Knowledge of real-time data processing and event-driven architectures. Familiarity with observability tools and anomaly detection for production systems. Exposure to data visualization platforms such as Tableau or Looker. Relevant cloud or data engineering certifications. What we offer: A collaborative and transparent More ❯

design and implement data-driven solutions, and provide actionable insights that drive business value. Your ability to address challenges specific to financial services, such as risk modeling, fraud detection, and regulatory compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as … on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and … AI regulatory framework Deep understanding of LLMs and their application in areas like financial document analysis, customer service chatbots or regulatory reporting Expertise in fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and More ❯

or equivalent industry experience. Preferred Qualifications Experience or interest in mentoring junior engineers. Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow). Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, or data.table/R. Experience working with AWS or other cloud platforms. Knowledge of building and monitoring high-performance More ❯

field, or equivalent industry experience Preferred Qualifications Experience or interest in mentoring junior engineers Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow) Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, data.table/R Experience working with AWS or other cloud platforms Knowledge of building and monitoring high-performance, concurrent More ❯

data pipeline orchestration tools such as Apache Airflow and Azure DevOps . Strong knowledge of cloud-based data engineering, particularly in AWS environments. Experience in data quality assessment (profiling, anomaly detection) and data documentation (schemas, dictionaries). What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise we More ❯

MySQL Ingestion pipeline for reduced latency and 10x scalability. Redshift -> Snowflake migration Unified Local Analytics Development Environment for Airflow and DBT Building our next generation company metrics framework, adding anomaly detection and alerting, and enabling easier discovery and consumption. About you You have 5+ years of full-time, professional work experience in the data space using Python More ❯

of data models. Communicate complex data insights to non-technical stakeholders through clear and actionable reports. Apply domain knowledge (if applicable) in financial fraud to enhance predictive modelling and anomaly detection capabilities. Skills and attributes for success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail More ❯

Senior Forward Deployed Data Scientist to implement our ML SaaS platform with major automotive and EV manufacturers. You’ll develop custom Python-based ML solutions for use cases like anomaly detection and time series analysis, bridging implementation gaps. Collaborating with Customer Success, you’ll tackle challenges in ML generalization, guide clients on model performance, and influence product … environments Track record of delivering end-to-end ML projects in production environments It would be a real bonus, but not a requirement if: Experience with time series analysis, anomaly detection, or deep learning Apache Spark knowledge/experience PhD in relevant field, research publications, or contributions to open-source projects Prior experience in successful startups Interview More ❯