1 to 25 of 40 Model Validation Jobs in the South East

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 ...

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 ...

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 ...

collaborative development, deployment and professional practice. Statistics, data science and artificial intelligence: probability, statistical inference, regression, data preparation, data visualisation, supervised and unsupervised learning, model validation and interpretation, and critical consideration of contemporary AI, including generative AI, large language models and AGI. Professional and responsible computing: accessibility ...

Ensure test coverage addresses CCR exposure calculations, netting, collateral and margining workflows, trade lifecycle events and relevant SA-CCR/IMM requirements. Oversee data validation and reconciliation testing across source feeds, risk engines and downstream outputs, investigating discrepancies with developers, business analysts and risk specialists. Maintain clear traceability between … timelines, requirements and proposed solutions where quality, testability or control standards may be compromised. Maintain testing documentation and evidence for internal audit, regulatory reviews, model validation teams and senior risk committees. Work with project managers, vendors, risk owners and technology leadership to resolve delivery issues and maintain consistent ...

ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with ...

also get opportunity to learn other engineering software such as Simcenter Amesim and Simcenter Star CCM+. You will develop interesting CFD models and produce validation studies demonstrating the capabilities of the software. Role 2 : You will focus primarily on core software development, engineering robust new features and automated testing ...

vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber and data engineering teams to productionise AI capabilities and integrate them into operational systems. Champion Responsible AI principles … practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical and non‐technical stakeholders. ...

improving single- and two-qubit gate performance. Develop Hamiltonian-based simulations to understand quantum dynamics, driven interactions and time evolution under realistic experimental conditions. Model and analyse open quantum systems, incorporating decoherence, dissipation and noise mechanisms. Design experiments to identify error sources, validate physical models and establish hardware performance ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

validate and deploy these models working closely with clinical colleagues, and integrate them with our population health system and data integration platform so that model outputs feed directly back into the information clinicians see. You'll be applying deep learning directly to patient outcomes -- helping clinicians spot disease progression … before deployment. Integrating models with our population health system and data integration platform so that predictive insights reach clinical records and care workflows. Implementing model monitoring, validation, explainability and drift detection approaches. Building natural language processing (NLP) models to derive insights from clinical and operational text data where ...

interrogate financial data, challenge outputs and identify inconsistencies or errors. Experience with Adaptive HTML reporting. Previous involvement in finance systems implementations, upgrades or model rebuilds. Advanced Excel skills and excellent analytical capabilities. Confident working independently with Finance stakeholders and external implementation partners. Desirable Experience Oracle NetSuite implementation or integration ...

Mechanical Design Engineers, Material Scientists, nanofabrication specialists, Cryogenic specialists and Quantum Test Engineers. Your primary focus will be thermal simulation and optimisation. You'll model how materials, components and interfaces behave as they move into the cryogenic regime, tackling challenges such as thermal contraction, material mismatch and heat flow. ...

Mechanical Design Engineers, Material Scientists, nanofabrication specialists, Cryogenic specialists and Quantum Test Engineers. Your primary focus will be thermal simulation and optimisation. You’ll model how materials, components and interfaces behave as they move into the cryogenic regime, tackling challenges such as thermal contraction, material mismatch and heat flow. ...

Job Requirements At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. We are looking for a Finance Data Scientist to join our Magnetic Resonance business and help us turn complex financial and ...

real-time development for the F1 ECU, validating code with SIL/HIL/DIL, data analysis, and contributing to DevOps tooling and plant-model validation in a high-performance motorsport environment. #J-18808-Ljbffr ...

Python e dei principali framework ML/DL Esperienza nello sviluppo di API REST tramite FastAPI Conoscenza approfondita di Pydantic per data modeling e validation Esperienza nell’utilizzo di Microsoft Azure e dei principali servizi cloud correlati ad AI/ML Esperienza nella progettazione di pipeline … Capacità di integrazione dei modelli in sistemi di produzione scalabili Conoscenza delle principali tecniche di training, validation, tuning e monitoraggio dei modelli Esperienza con strumenti di versionamento codice, CI/CD e containerizzazione Ottime capacità di problem solving e autonomia tecnica Esperienza nella gestione della technical delivery e coordinamento ...

support exposure. Process & Data Governance Develop and maintain hardware asset data standards, data dictionaries, and data governance documentation. Define and enforce mandatory data fields, validation rules, and data entry standards for hardware asset records. Identify and document data flows between ITAM tools, CMDB, procurement systems, financial systems, discovery tools … management and stakeholders. Strong attention to detail with a commitment to data accuracy and integrity. Understanding of data governance principles including data standards, validation rules, and audit trails. Good communication skills — able to explain data findings and recommendations to both technical and non-technical audiences. Desirable IAITAM certification (e.g. ...

Guide multidisciplinary delivery teams through system boundary definition, hazard identification, ethical impact assessments, control design, residual risk scoring, and formal risk ownership. Technical Evidence & Model Review: Interrogate AI system specifications, data provenance, training pipelines, model documentation, algorithmic bias assessments, and data sufficiency to constructively challenge incomplete evidence. Specialist … Assessment Coordination: Scope and coordinate deeper technical assurance for high-risk capabilities, including model evaluations, adversarial robustness/red-teaming, and cyber/safety stress tests. Governance, Escalation & Reporting: Maintain the central AI assurance risk register, elevate critical residual risks through established governance boards, and compile evidence to support ...

management reporting remains accurate, reproducible and timely. Lead data and reporting migration from NetSuite and other business systems to Oracle Fusion, coordinating mapping, cleansing, validation, reconciliation and stakeholder sign-off. Establish common definitions for key performance indicators and business measures, with Finance and operational owners approving the relevant rules … improving data quality, establishing consistent definitions and applying data governance in partnership with business owners. Experience of data migration, system change or integration, including validation, reconciliation and business acceptance. Technical fluency in data querying, modelling and validation, using SQL or equivalent tools, with the ability to assess technical ...

nanofabrication and materials teams, you’ll contribute to the development of computer vision and scientific image-analysis solutions, taking ownership of the development, validation and quality of the solutions you deliver. You’ll tackle problems spanning microscopic defect detection, segmentation and critical-dimension measurement, working with imagery from technologies … analysis pipelines, ideally within collaborative codebases. Understanding of software engineering practices for robust scientific tooling, including testing, version control and code review. Understanding of model and algorithm validation, including ground truth, quantitative metrics, error analysis, reproducibility and failure modes. Strong scientific problem-solving and communication skills, with ...

Pricing Data Scientist Remote (UK) | £80,000 - £100,000This is an opportunity to join a specialist insurer undergoing a significant transformation across pricing, data, and technology. You'll play a key role in building new ...

responsibilities Lead the development of plant models for electrical (e-motors, power electronics, batteries, etc) and mechanical (gearboxes, propellers, clutches, etc) components in model-based simulation environment (MATLAB, Simulink, Simscape) Optimise design parameters by simulating (dynamically and statically) project requirements (flight cycles, dynamic performance, abnormal conditions, etc) Validate models … designing test methods and analysing test data to correlate statistically the simulation results Support software verification activities by providing models and harnesses for model-in-the-loop (MIL) and hardware-in-the-loop (HIL) environments Provide technical guidance to junior engineers and contribute to the definition of best practices ...