11 of 11 Anomaly Detection Jobs in Central London

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 ❯

Maintain and optimise ~60 Python pipelines, refactoring legacy code into modular components. Keep Power BI dashboards accurate and up to date, supporting evolving business needs. Help implement validation and anomaly detection within their pipelines to ensure data integrity. Manage Git workflows and assist in setting up lightweight deployment pipelines. Maintain clear, up-to-date records of code More ❯

About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large country governments. We've blocked more than 200 million malicious sites and perform takedowns for around one-third of the world's phishing sites. Our purpose, passion, and … should combine deep applied AI/ML expertise , a hands-on and collaborative approach to developing solution architecture, and eventually develop a strong domain knowledge in cyber threat detection and mitigation. The role is highly collaborative, embedding within technical teams to deliver robust, explainable, and impactful AI-based solutions that advance threat detection efficacy and enable … statistical analysis. Massive bonus points if you have experience applying these skills to threat detection, malware analysis, phishing, and/or abuse detection. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Hands-on experience building production -grade AI More ❯

team that’s pushing the boundaries of what AI can do. What’s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of More ❯

science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to detection, classification and real-time ML systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS … and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection Why This Role? Work at the intersection of real-time data, machine learning, and product innovation Join a lean and collaborative team where data science is More ❯

pipelines for ingesting and cleaning financial datasets Integrate with distributed internal systems to serve structured data to end-users Develop new algorithmic techniques for quality control, error correction, and anomaly detection Engage with internal stakeholders to shape schema, resolve issues, and anticipate data needs Optimise systems for performance, reliability, and long-term maintainability Required Experience Confident programmer More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally More ❯

our portfolio of investments Doing ad-hoc analysis and presenting results in a clear manner Presenting findings and recommendations to stakeholders in a clear and concise manner Creating automated anomaly detection systems and constant tracking of its performance Protecting data to ensure its confidentiality to the most stringent standards and divulging information on a need-to-know More ❯

both offensive and defensive techniques, and share findings within the Microsoft Security Community. Qualifications Experience in identifying security vulnerabilities, software development lifecycle, large-scale computing, modeling, cyber security, and anomaly detection. Experience with penetration testing/red-teaming, cloud, services, and network security. Strong coding skills in languages such as C#, Python, C++, Go, PowerShell, ASP.NET, JavaScript. Preferred: Master More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will More ❯

is designed, developed, tested, and maintained. This unit will explore the integration of AI tools and techniques—such as large language models, code generation systems, automated testing frameworks, and anomaly detection algorithms—throughout the entire SDLC. The goal is to increase development speed, improve code quality, reduce human error, and enable predictive maintenance. Key use cases, to … be prioritized during the project, also based on the industry needs, include AI-assisted coding, intelligent requirement analysis, automated bug detection and resolution, continuous integration optimization, and AI-driven documentation. Each unit will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industrial environments. The goal: create high-impact, market-ready solutions while More ❯