1 to 25 of 86 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 ...

using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule-based profiling, anomaly detection, and GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep … Experience in defining semantic layers, asset hierarchies, and contextual models. Data Governance:Hands-on experience Data Quality:Ability to implement profiling, cleansing, standardization, and anomaly detection frameworks. Security & Compliance:Knowledge of data privacy, access control, and secure data exchange protocols. Defining and creating MLOPs pipeline Good ...

manager on a key leadership hire - an Engineering Lead to spearhead the design, development, and modernization of cutting-edge transaction monitoring and fraud detection systems. This is a rare opportunity to lead a high-performing team and shape the future of fraud prevention and financial crime technology within … React.js for full-stack development Solid grasp of distributed systems design, secure coding, and data privacy principles. Familiarity with fraud detection models, anomaly detection, and rule-based systems. Experience with modern DevOps practices (CI/CD, Terraform, CloudFormation). If you have the skills ...

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 … 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 ...

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 ...

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 ...

Define and implement data quality rules (validity, completeness, uniqueness, timeliness, conformity, integrity) across ingestion, transformation, and serving layers. Build automated DQ testing and observability (anomaly detection, SLAs/SLOs) within CI/CD and orchestration workflows. Develop golden datasets and remediation playbooks; drive root‐cause analysis ...

analysis. Work with the Quality team to automate FAI checks, SPC monitoring, supplier performance analysis, and NCR triage. Assist Production with digital work instructions, anomaly detection, and AI-supported training materials. Enterprise-level AI integration: Contribute to long-term AI architecture decisions choosing tools, shaping governance ...

monitoring of all infrastructure, utilising tools like Ansible, Python, and shell scripting. Explore and integrate ML/AI solutions to enhance predictive monitoring, anomaly detection, and automated fault resolution. Collaborate with operational and engineering teams to deploy automation for key workflows, reducing manual intervention and improving efficiency. ...

classes, data modeling, reconciliation, normalization, and health dashboards. Event Management : Expertise in alert ingestion, correlation, suppression, and integrations with monitoring tools. AIOps : Experience with anomaly detection, ML models, and automation workflows. Cloud & Hybrid Environments : Exposure to AWS, Azure, GCP, and hybrid infrastructure. Data Governance : Familiarity with CMDB ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...

data to fine-tune classifiers and extraction algorithms. 3. Data Integrity & Stakeholder Management Manual Curation & Debugging: Investigate bug reports from downstream users or automated anomaly detection systems. You will manually fix data errors, merge duplicate entities, and resolve conflicting relationships. Feedback & Reporting: Close the loop with partner ...