1 to 25 of 27 Anomaly Detection Jobs in England

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 ...

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 ...

building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such … background in machine learning research; PhD preferred (or equivalent experience in game development). Expertise in Python, PyTorch, and TensorFlow. Experience with video-based anomaly detection, computer vision, and streaming analysis. Gaming industry experience is a plus. Ability to lead projects and guide technical direction ...

Capabilities Apply AI/ML-aware thinking to data pipelines, quality processes, automation, and insight generation Identify opportunities to use AI for data validation, anomaly detection, reconciliation, and reporting efficiency Collaborate with engineering and analytics teams to shape forward-looking data capabilities Migration Delivery Lead all phases ...

communicate findings in clear, non-technical terms. Modelling, experimentation, and impact Build and deploy predictive and prescriptive models (predictive maintenance, yield/defect forecasting, anomaly detection, capacity planning, SPC-aware models). Deployment, governance, and scale Operationalise models in the cloud with robust MLOps practices, including versioning … monitoring, drift detection, retraining, and documentation. Create model cards and explainability artifacts to support trust and adoption by operators and leadership. Develop scalable data pipelines and reusable analytics components; enable near real-time scoring and alerting for process deviations. Collaboration, enablement, and change management Partner with process engineers ...

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 ...

Deep understanding of service assurance, fulfillment, and network operations; hands-on with digital twin frameworks (topology/graph modeling, intent-based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure ...

scalability, and reliability. Leverage tools like Alteryx for data transformation and workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting, anomaly detection, and performance forecasting. Support the integration of predictive analytics and natural language query tools for improved data access and insight. Enablement ...

scalability, and reliability. Leverage tools like Alteryx for data transformation and workflow efficiency. Data Innovation & Automation: Apply AI tools and automation to enhance reporting, anomaly detection, and performance forecasting. Support the integration of predictive analytics and natural language query tools for improved data access and insight. Enablement ...

solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills ...

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 ...

system instances Build transformation-heavy pipelines covering data profiling, cleansing, standardisation, conformance, and publishing Advanced SQL skills for data profiling, joins and merges, deduplication, anomaly detection, and performance tuning Strong scripting capability in Python for automation, parsing, rules engines, and data quality checks, with an emphasis ...

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. ...

. Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution. Visualization and communication Graph ...

systems where quality, governance, and operational readiness genuinely matter. What You’ll Be Doing Designing and developing machine learning models across forecasting, classification, and anomaly detection use cases. Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures. Running structured experimentation cycles ...

checks) Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection Integrate LLMs, generative AI, and traditional ML into scalable, secure applications Process real-time, unstructured, and semi-structured data (text, documents ...

data such as transactions, text, imagery, sensor or network data Designing experiments to understand signal quality, bias, coverage, and failure modes Developing forecasting, optimisation, anomaly detection, or risk-aware models used in real decision-making Analysing regime shifts, drift, and breakdowns in modelling assumptions Translating research into ...

dashboards and visualisations, communicating insights in accessible, non-technical language Modelling & Deployment Develop and deploy predictive and prescriptive models (e.g. predictive maintenance, defect forecasting, anomaly detection, capacity planning) Operationalise models using cloud and MLOps best practices, including monitoring, documentation, retraining, and explainability Collaboration & Change Work closely with ...

Define & Socialize plan of action to eliminate and control defects Enhance application logging standards across Guidewire services to achieve faster MTTR through proactive alerting & anomaly detection. Manage centralized monitoring & observability dashboards for Real Time health tracking. Experience Requisite Total Guidewire Experience: 8+ years ClaimCenter Experience: 5+ years Must ...

Monitoring Infrastructure : Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory … Integration : Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications • Anomaly Detection : Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before ...

multiple source instances Expertise in data-transformation-heavy pipelines : profiling, cleansing, standardisation, conformance, and publishing Advanced SQL , including profiling, joins/merges, deduplication, anomaly detection, and performance tuning Python scripting for automation, parsing, rules engines, anddata-quality checks; ability to write maintainable code Experience with Python packages ...

such as, • Flexibility, storage, demand response, pricing, decision grade modelling under uncertainty • Digital twins, sensors, operational analytics, resilience and performance improvement • Forecasting, time series, anomaly detection, predictive maintenance • Geospatial and environmental analytics, hazards, climate informed planning • Pragmatic NLP and GenAI This is delivery led, focused on solutions ...

SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within OCI Alongside your technical strengths, you'll demonstrate: Proven leadership across ...

Grafana skills: dashboards, alerting, synthetic monitoring, Loki logs, RUM tooling. Experience with APIs, automation, and integrations across Loki, Tempo, and OpenTelemetry. Desirable ML-assisted anomaly detection and advanced root-cause analysis across metrics/logs/traces. If this sounds like something you'd be interested ...