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3 of 3 Remote Anomaly Detection Jobs in Central London
City of London, London, United Kingdom Hybrid / WFH Options Creo Recruitment
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options Franklin Bates
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 ❯
City of London, London, United Kingdom Hybrid / WFH Options Undisclosed
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 ❯
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Salary Guide Anomaly Detection Central London - 25th Percentile
- £98,750
- Median
- £102,500
- 75th Percentile
- £106,250
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