1 to 25 of 142 Model Validation Jobs in the UK excluding London

Senior Decision Scientist - Validation £60,000 - £80,000 | London Are you a credit risk modelling specialist looking to move into a high-impact validation role within a fast-growing fintech? This is an opportunity to join a well-established business where data science and automated decisioning … They have built a highly data-driven lending platform powered by machine learning and automated credit decisioning. This role offers the opportunity to influence model governance and validation standards within a business where analytical insights directly shape commercial outcomes. THE ROLE As a Senior Decision Scientist within ...

customers. Can independently and constructively review others' work and can challenge decisions in a positive way Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Can clearly articulate ideas with non‐technical language and tell a simple story to non technical audience … customers. Can independently and constructively review others' work and can challenge decisions in a positive way Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring #J-18808-Ljbffr ...

customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring - Can clearly articulate ideas with non-technical language and tell a simple story to non technical audience … customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited ...

attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities • Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. • Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… data lakes, and case-management systems. • Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. • Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. • Implement graph analytics for attack ...

attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… data lakes, and case-management systems. Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. Implement graph analytics for attack ...

technical modelling specialist. Comfortable operating across both analytics and data science disciplines. Build intuitive Power BI dashboards that act as the first stage of model productionisation before solutions are integrated into broader business workflows and operational processes. Key Requirements Essential Skills Data Science & Data Analytics Data Visualisation & Power … including AI-enabled Conversational Insights Data Product Development Exploratory Data Analysis (EDA) & Feature Engineering Model Development & Selection Model Validation & Governance Model Productionisation & Monitoring End-to-End Data Science Model Lifecycle Management Analytics Integration into Business Workflows & Operational Processes Desirable Skills Financial Services experience, particularly within ...

across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. … Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers and software teams to make data science outputs scalable, maintainable and usable. Communicate complex findings, uncertainty and limitations clearly to stakeholders and delivery teams. Promote responsible AI, data ethics, privacy and model ...

scale datasets, and build models that drive real-world impact. What You Will Do Contribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities. Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision … develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling, and analytical issues by identifying root causes and recommending practical solutions. Create, review, and deliver formal presentations ...

integrating previous pre-trained models with simulations or other advanced modelling. Additional skills and experience necessary for the role Awareness of different solutions for model management that includes model building and deployment. Determines and executes model validation, reproducibility, and deployment criteria. Ability to get results fast ...

everyday lives of people around the globe. An exciting opportunity has arisen for a HiL Development & Test Engineer to support the development, integration, and validation of advanced automotive systems within a cutting-edge Hardware-in-the-Loop (HiL/XiL) environment. This role focuses on the design, configuration, delivery … single ECU setups through to complex multi-ECU architectures incorporating up to 30 ECUs in the loop. The successful candidate will contribute to the validation of Advanced Driver Assistance Systems (ADAS) and Advanced Automated Driving (AAD) features through both signal-based and scenario-based testing methodologies. Working within ...

leader in AI-powered drug discovery. Core accountabilities Own and lead the AI Accelerator as the single consolidated machine learning, deep learning and foundation-model capability serving every in silico unit, comprising the Machine Learning, Generative & Agentic AI, and Therapeutic Hypotheses groups Set the technical AI vision and multi … year roadmap for AI-powered drug discovery at Evotec, and translate the In Silico & AI strategy into a prioritised model and capability portfolio Deliver predictive models for molecular property, activity, ADMET and safety at a quality and scale that individual science units could not build or maintain alone Deliver ...

doing: · Develop and enhance reporting, dashboards and analytical products that provide insight to senior business leaders and customers. · Centralise, cleanse, validate and model data from multiple business systems within modern data platforms and data lake environments. · Build and maintain data pipelines, automated solutions and analytical tools using technologies including ...

systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical results to business … team growth. What We Offer Opportunity to work on cutting-edge AI and ML projects, Collaboration with international clients (US and Europe), Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days, Supportive, innovation-driven work environment focused ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … machine learning runtime development and hardware-accelerated AI execution . The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning ...

recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical results into actionable insights, Qualifications We don’t expect you to know everything … looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux ...

techniques to engineering and simulation problems. Experience working with engineering simulation platforms such as: ANSYS Abaqus COMSOL Experience designing and executing research programmes and validation studies. AI & Advanced Analytics Machine Learning and Deep Learning applied to engineering systems. Experience with LLMs and Generative AI technologies. Retrieval-Augmented Generation … knowledge-based systems. Hybrid AI-physics modelling approaches. Model validation, benchmarking, and performance assessment. Knowledge of Model-Based Systems Engineering (MBSE). Experience with SysML and tools such as: Cameo Capella Enterprise Architect Experience integrating simulation environments with system-level engineering processes. Software & Cloud API development ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

statistical and data science methods, such as projections, statistical and simulation modelling, machine learning (supervised and unsupervised, NLP), econometrics, regression and causal inference, including model validation and communicating uncertainty Data management and engineering skills, such as working with complex, high-volume, structured and unstructured data; SQL/NoSQL ...

post holder will work across the full application lifecycle, including system configuration, software deployment, Linux server administration, scripting and automation, troubleshooting, GIS–ADMS model integration, data quality, data mastery, system integration, testing, and change management activities. The role will help the delivery of new functionality, upgrades, interfaces, and operational … integration of GIS network models into ADMS platforms to support LV Management use cases. Implement and maintain GIS adaptor technologies to ensure accurate model exchange between GIS and ADMS. Help end‐to‐end delivery from data extraction and transformation through to ADMS model validation and operational acceptance. ...

risks within financial services sector. Proven experience leading and delivering end-to-end internal audits. Solid knowledge of AI governance and risk frameworks, including model risk management (MRM) principles, AI lifecycle controls, bias and fairness assessments, and the design and evaluation of oversight and accountability structures for AI systems. … Demonstrable experience auditing or reviewing AI and machine learning models, including model validation, explainability, performance monitoring, data quality and integrity, and the adequacy of model documentation and change management processes. Why Consultants choose the ATC Work that moves you forward When a project fits your skills ...

immunohistochemistry, spatial transcriptomics and clinical variables. Build and maintain reproducible pipelines for slide preprocessing, stain normalisation, tissue and cell segmentation, feature extraction and model evaluation, using version control and clear documentation. Curate and manage large imaging and clinical datasets in line with ethics approvals, data protection … information governance requirements. Carry out external validation across centres and scanners, and assess model calibration, bias and failure modes. Bring histopathological and computational thinking together, working with pathologists to design annotation protocols, check that model outputs make morphological sense and interpret explainability analyses. Support the principal investigator ...

business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data science solutions. Document methods, assumptions, limitations and validation results clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science … methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical testing, model validation and performance metrics. Ability to prepare, clean and transform data for analysis and modelling. Ability to communicate technical findings and visualisations ...