1 to 25 of 72 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 ...

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 ...

analyse integration pipeline telemetry and identify inefficiencies, bottlenecks, or redundant processes. Identify and Encourage Cost and Efficiency Savings AI Collaborate with DevOps to introduce anomaly detection models to proactively identify unusual patterns in deployment behaviour, system performance, or test failures. Collaborate with DevOps and QA teams … tools (Jira, Azure DevOps). AI Skills Experience with AI-driven test optimisation, intelligent prioritisation, and synthetic test data generation. Hands-on use of anomaly detection models in CI/CD pipelines. Comfortable with AI-powered telemetry, observability, and root-cause analysis tools. NICE-TO-HAVE Experience ...

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 ...

considerations. Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation. Exposure to Agile methodologies such as Scrum or Kanban. Awareness of emerging trends in Private Markets data, including ...

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 ...

clear and concise writing skills. Example Data Annotation Potential Scope Field of Study Agent Task Specialty Machine Learning Model training/explanation, bias detection, evaluation metric analysis Deep Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling … value calculation Data Engineering Data pipeline logic, cleaning steps, schema validation Feature Engineering Variable selection, encoding/normalization strategies Time Series Analysis Forecast modeling, anomaly detection Recommender Systems User/item embedding design, collaborative filtering support Explainable AI (XAI) SHAP/LIME interpretation, fairness flagging Data Storytelling ...

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 ...

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 ...

business development. Mastery of enterprise architecture components, business/IT principles, and organisational processes. Experience applying AI/ML across corporate functions (e.g., financial anomaly detection, HR attrition prediction, procurement spend analytics). Competencies Exceptional analytical, planning, and organisational capabilities, with strong situational awareness and political acumen. ...

deep learning techniques to drive innovation in the FinTech domain. Hands-On Modelling & Delivery Build, train, validate, and deploy ML solutions across risk modelling, anomaly detection, personalisation, optimisation, and predictive analytics. Lead experimentation cycles, champion best practices, and ensure models are production-ready. Partner with Machine Learning ...

triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a Reinforcement Learning from human preference ...

Experience with market analysis and business cases (pricing, TCO, ROI) Experience in AI technologies and understanding of how AI/ML can enhance automation, anomaly detection, and decision-making in data protection and IT operations Excellent communication, stakeholder management, and structured problem-solving skills; comfortable presenting from ...

Security Cloud Engineer, CISSP, CISM, or similar. Collaboration experience with MS Teams\Zoom collaboration. Identity AI adoption for risk-based access analytics and behavioural anomaly detection. Should this position be of interest please submit your CV and I will be in contact as required. Guidant, Carbon60, Lorien ...

hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning … front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration ...

hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning … front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration ...

role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly … jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with ...

technologies. This includes: Identifying Opportunities: Evaluating how AI/ML can enhance i2 Group’s core intelligence analysis capabilities, particularly within areas like anomaly detection, predictive analytics, and automated investigation support. Technology Assessment: Staying informed on the latest advancements in AI/ML algorithms, platforms, and tools ...

streams which could range from supporting the build out of our threat hunting and operations capabilities, improving our playbooks and breach response, to Cloud anomaly detection and response. What You'll Be Doing Enhance our Security Operations capabilities and abilities to threat hunt Work closely with other ...

scalable and robust product architecture. Define and evolve chart-of-accounts mapping, ensuring alignment with industry-standard frameworks where applicable. Extend error- and outlier-detection logic, annualisation processes and export capabilities (Excel, API and additional formats as required). Partner with customers and internal stakeholders to understand pain ...