1 to 25 of 30 Anomaly Detection Jobs in the UK

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What y ou will be doing : Push the frontier of research in areas such as deepfake … detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML. Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: Implement bias-mitigation ...

that blend research, experimentation, and hands-on engineering. THE ROLE As a Staff ML Engineer, you'll take the lead on projects focused on anomaly detection in video based or interactive environments. You'll guide technical direction, support junior engineers, run experiments, and ship models into production. … Specifically, you can expect to be involved in the following: Building and improving ML models for anomaly detection Leading research work streams Scoping, planning, and communicating project direction with stakeholders Mentoring juniors Working across areas like self supervised learning, multi modal, or vision-language models Bringing concepts ...

advanced R&D to transform how quality assurance is done at scale. This role sits within a research-focused engineering team developing cutting-edge anomaly and glitch detection technology used across multiple stages of product development — from early builds through to large-scale testing and certification. … direction, driving innovation, and contributing to both applied research and production-ready systems. Key Responsibilities Designing, developing, and deploying novel machine learning models for anomaly and glitch detection Leading research workstreams and contributing to publications, patents, and internal knowledge sharing Working closely with cross-functional teams ...

scalable semantic layer for LLMs to query reliably Predictive Analytics and Machine Learning Deploy lightweight production ready models including churn prediction, usage forecasting, anomaly detection and upsell indicators Implement monitoring and automate downstream workflows using model outputs Self Serve Data Products Build Looker dashboards and ensure analytics … Ability to thrive in ambiguity and fast changing environments Excellent communication skills Nice to Have Experience with Redshift, AWS or GitHub Actions Experience building anomaly detection or metric monitoring systems Experience working with LLMs or building data layers for agents What You Get Competitive salary ...

Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly detection - with an emphasis on clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement. There … data expertise: joins, aggregations, data cleaning, handling missing data/outliers, basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders ...

semantic layers, Foundry-style systems) Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage Implement robust data quality frameworks (validation, profiling, anomaly detection) Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection) Ensure alignment with governance, security and industry ...

orchestration (e.g., Docker, Kubernetes). Preferred Qualifications: · Hands-on experience in productionizing machine learning models. · Prior experience in building recommendation systems, predictive analytics, or anomaly detection models. · Contributions to open-source ML/Al projects. · Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning. · Strong ...

data providers Big Tech or adjacent industries where work maps structurally to quant data problems (e.g. large-scale recommender systems, NLP on unstructured data, anomaly detection, knowledge graphs) Smaller teams with broad ownership and responsibility Compensation & Benefits Fully guaranteed, competitive compensation Education allowance for dependent children ...

metrics Documenting assumptions and ensuring outputs are reproducible Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA) Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented ...

clear technical plans and priorities Define and enforce data governance standards, including testing, documentation, lineage, and observability Improve operational efficiency through automation, validation, and anomaly detection Maintain hands-on involvement in critical pipeline design, data modelling, and optimisation work Drive continuous improvement across tooling, processes, and team ...

pairing, not abstraction Own senior client relationships while retaining technical depth and delivery accountability Technical Requirements Python & Python Scripting Controls analytics, reconciliations and anomaly detection Automation of manual and semi-automated processes Evidence generation for audit and regulatory needs SQL Complex transformation logic Financial, payments and ledger ...

support consistent and governed development. Enable Gen AI and Co pilot Studio adoption by producing AI ready datasets and identifying opportunities for automation, anomaly detection, and forecasting. Optimise BI workflows by leveraging AI for documentation, requirements capture, DAX optimisation, and natural language querying. Key Responsibilities Design ...

contractual agreements to keep suppliers to account. Write pipelines to ensure that ingested data meets expected format/contractual criteria Proactively conduct EDA and anomaly detection on data sources to identify unknown issues. Produce dashboards and reports to disseminate features of interest of the graph to GSCIP ...

operationalise new datasets. Develop and maintain ETL/ELT data pipelines to feed real time trading and research systems. Implement data quality checks, anomaly detection and monitoring frameworks. Build and maintain high performance API's to expose market and reference data to trading, research and analytics platforms. ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working ...

implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise ...

subscription platform strategies and governance models Infrastructure-as-Code frameworks and declarative infrastructure pipelines DevSecOps practices, automation, and compliance enforcement Monitoring, alerting, dashboards, and anomaly detection Secure, scalable cloud architecture patterns Candidate Profile The successful candidate will demonstrate: A consultancy mindset and experience working in this environment ...

This is not a traditional alert-review role - the ideal candidate is a hands-on surveillance specialist who enjoys building, optimising and refining detection frameworks, shaping alert logic, and embedding data-driven methodologies across a complex trading environment. You will play a key role in transforming a legacy … experience designing, tuning and calibrating trade surveillance alerts Advanced Python, SQL and Tableau capability (data preparation, analytics, visualisation) Strong statistical knowledge (distributions, regression, clustering, anomaly detection) Experience preparing structured and unstructured datasets for AI/ML applications This role sits between Surveillance Specialist and Surveillance Lead - offering ...

classification, data extraction, validation workflows). Design, implement, and integrate AI services and pipelines, such as Machine learning/rules-based components for classification, anomaly detection, and routing (e.g. flagging potentially incorrect invoices or exceptional cases). Fine-tuned language models or specialized inference models deployed ...

makes their outputs usable for downstream systems and training our Delivery Team for fielddeployment. The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You'll work closely with colleagues across software, hardware, data science, and infrastructure ...

capacity planning for peak events. Optimise performance and cost across hybrid environments through right-sizing, forecasting, and resource governance. Apply AI-driven tooling for anomaly detection, operational optimisation, and compliance automation. Collaborate cross-functionally, maintain documentation, and promote DevOps best practices. Required Experience & Skills: 5+ years ...

whitepapers , contributing to product strategy Familiarity with security audits , RFP/RFI responses Exposure to security analytics tools and techniques, such as log analysis, anomaly detection, or traffic monitoring , with an interest in developing stronger skills. Understanding of full packet capture and analysis concepts, or hands ...

areas include: Data analysis of the telemetry from Ground and Space Assets to ensure reliable and efficient performance Develop operational automation for mission execution, anomaly detection and resolution, space situational awareness, and performance monitoring. Develop a data platform that allow for flexible data storage and analytics Maintain ...

quality SLAs. Integrate upstream sources and pipelines: OpenTelemetry, Prometheus exporters, Fluentd/Fluent Bit/Vector, Kafka, CMDB/ITSM enrichments, AIOps/ML anomaly detection. Required Skills Splunk Enterprise: SPL mastery, CIM alignment, KV/lookups/macros, saved searches, index/retention/RBAC design, search performance ...