1 to 25 of 44 Permanent Anomaly Detection Jobs in London

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 ❯

Data Analytics: Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to … data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. Geospatial Intelligence & Data Analysis: Strong understanding of geospatial concepts and techniques (e.g. More ❯

a target for online fraud, with sophisticated attacks evolving rapidly. At Kantar, we are committed to staying ahead of these threats by investing in advanced analytics and fraud detection capabilities. You'll play a key role in protecting our data quality and delivering trusted insights to clients worldwide. This is a high-impact role with the opportunity to … segments. Prototype new ideas and develop statistical models to improve decision-making. Collaborate with developers to implement scalable, production-ready analytics solutions. Improve monitoring and measurement of fraud detection systems. Communicate insights clearly to technical and non-technical stakeholders. Work with cross-functional teams to … drive better data quality and commercial outcomes. What You'll Bring 5+ years of experience in analytics, data mining, and reporting. Hands-on experience in fraud detection, anomaly detection, or similar quality-focused domains. Strong proficiency in Python, SQL, and statistical techniques. Experience with cloud platforms (AWS, Redshift, Azure), g it version control Model automation More ❯

and implement scalable backend services for AI model deployment in secure environments Collaborate with data scientists and defence analysts to productionise ML models (e.g., for threat detection, anomaly detection, autonomous systems, or decision support tools) Build and maintain secure APIs and infrastructure using Python (FastAPI/Flask), Docker, and Kubernetes Contribute to DevSecOps workflows including More ❯

In this job, you will use and extend a broad set of data science and software skills. Help build and improve the algorithms in scalable manner for AI-based anomaly detection and predictive modelling Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular etc) Development of computer … and give support Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, ) Tune algorithms and data pipelines for optimal performance Train, tune and deploy anomaly detection and predictive models on industrial or IoT data Knack/experience of consultancy services Qualifications : Previous hands-on experience in Data Science, delivering machine learning models More ❯

and other O2C tools Optimize and automate workflows for order processing, invoicing, cash reconciliation, collections, and revenue recognition Implement AI-driven enhancements such as predictive collections, invoice categorization, and anomaly detection for compliance Define and measure success metrics like time-to-invoice, DSO, and billing accuracy Ensure systems are SOX-compliant with appropriate controls, audit trails, and … Strong analytical and problem-solving skills with a data-first mindset Familiarity withAI use cases in finance systems, such as NLP for contract ingestion, LLMs for billing support, or anomaly detection for audit flags Our cash compensation amount for this role is targeted at $135,000-$168,000/year in Denver, Chicago, Miami, Austin and Atlanta More ❯

the integrity and security of our payment systems. Your role will involve leveraging data analytical skills, Python, SQL, and various analytical tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative … of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential card fraud. o Develop and implement data-driven fraud detection rules and models. o Analyse false positives to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with statutory regulations and legislation. • Data Management and Analysis … detection. • Analytical Mindset: o Strong problem-solving skills with a keen eye for detail. o Ability to interpret complex data and turn it into actionable insights. o Familiarity with anomaly detection and pattern recognition techniques. • Communication and Stakeholder Management: o Excellent communication skills with the ability to translate complex data findings into clear insights for non-technical More ❯

runtime-isolated, reproducible models that are easy to deploy, monitor, and update without connectivity. Work closely with data scientists to define clear KPIs and success criteria-such as detection accuracy, latency, false positive/negative rates, explainability, and robustness-to determine what constitutes a production-grade, releasable model. Align model performance goals with the operational realities of the … and stakeholder management skills. Comfortable working in a fast-paced, iterative, and agile environment. Preferred Experience: Solid understanding of cyber security concepts such as threat detection, SIEM, anomaly detection, and incident response. Experience with tools for tracking ML models in production (e.g., MLflow). We encourage you to apply even if your experience is not 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. System experience . You've built, maintained and monitored complex AI/ML models and systems in production at scale. A proven track record . You know how … Do you have 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? Select Have you built, maintained and monitored complex AI/ML models and systems in production at scale Select Voluntary self-identification, gender and race We 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 ❯

and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve: As a … analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in Data Science, Computer Science, or a related field. D. in … of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure . Expertise with Data Warehousing 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 ❯

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 ❯

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 ❯

controls that require technical proficiency as well as tenacity, professionalism, and strong communication skills. Responsibilities Security Analytics - Efficiently distill actionable information from large data sets for reporting, hunting, and anomaly detection Incident Management - Detect, document, investigate, and resolve security incidents in an efficient manner Endpoint Forensics - Construct meaningful incident timelines from forensic artifact analysis Counter Measures - Ability … that evade traditional security controls Behavioral Analysis - Develop and implement criteria to identify anomalous user behavior leading indicating insider threat activity Intrusion Detection - Develop and tune network anomaly control capability to produce reliable actionable data Threat Hunting - Proactively search for unknown threats within the environment. Preferred Knowledge and Experience 3+ years of relevant experience Deep understanding of 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 ❯

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 ❯

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 ❯

with a strong focus on performance, explainability, and cost-efficiency. What You'll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong … experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Remote Salary: Up More ❯

datasets from AIS feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs More ❯

using version control systems (e.g., Git) Developing internal front-end applications using Streamlit, Dash, or React (preferred but not essential) Leveraging ML or LLM models for data cleaning and anomaly detection (preferred but not essential) Maintaining clear and structured documentation of data processes Solid understanding of medallion architecture and related data concepts Analytical mindset with practical experience 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 ❯

Grafana and Elastic Stack (ELK) Hands-on experience with BMC Helix Operations Manager, TrueSight, or similar enterprise monitoring platforms Solid understanding of AIOps concepts, including event correlation, noise reduction, anomaly detection, and root cause analysis Strong proficiency with Scripting (eg, Python, PowerShell, Bash) for automation and data handling Solid understanding of networking fundamentals Excellent problem-solving skills More ❯

Grafana and Elastic Stack (ELK) Hands-on experience with BMC Helix Operations Manager, TrueSight, or similar enterprise monitoring platforms Solid understanding of AIOps concepts, including event correlation, noise reduction, anomaly detection, and root cause analysis Strong proficiency with scripting (e.g., Python, PowerShell, Bash) for automation and data handling Solid understanding of networking fundamentals Excellent problem-solving skills More ❯

Desirable Skills Exposure to data governance frameworks or responsible data policies. Experience with embedded finance, payments, or regulated financial products. Familiarity with internal enablement tooling (e.g., reporting, workflow automation, anomaly detection). Working knowledge of Postman, Notion, Looker, Quicksight and similar tooling. Our investment in you We welcome people into the Equals group and desire to grow More ❯