126 to 150 of 365 Model Validation Jobs in England

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide … applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

Title Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats Location London Corporate Title Vice President Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help … deliver the efficiency, control, and transformation goals of the Bank. You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong ...

stakeholders to understand business problems and define analytical approaches Leading data discovery sessions and gathering requirements from subject matter experts Presenting insights, recommendations and model outputs to both technical and non-technical audiences Monitoring, refining and retraining models to ensure ongoing performance Collaborating with analysts, project managers and industry … Science experience within predictive modelling Advanced Python and SQL skills Experience building classification, regression and clustering models from the ground up Strong understanding of model performance, validation and optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks ...

Schroders is seeking a Quantitative Risk specialist to participate in model validation across asset classes. You will produce clear reports, present risk findings to the governance committee, and help develop risk models and tooling with a focus on automation and transparency. The role requires postgraduate quantitative training, strong ...

questions are real and the appetite for answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns … commercial opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. Set best practice in feature engineering, validation, reproducibility and model evaluation. Work with Data Engineering to productionise high-value analytical solutions. Guide model monitoring, drift management and ongoing performance. Turn sophisticated analysis into clear ...

Canary Wharf is seeking a research-driven analyst to track market-moving corporate events and extract insights from primary sources. You will validate model outputs, write research notes, and present to clients, balancing speed with accuracy in a fast-moving environment. Candidates should have a strong finance interest ...

pipelines — from data ingestion to training to production inference Collaborate with engineers to integrate models into real-time energy management systems Continuously improve model performance — experimenting, validating, and iterating Help shape the ML roadmap and identify new opportunities to apply AI across the business Qualifications An ML Engineer with ...

attention to statistical robustness, overfitting and transaction costs Work alongside portfolio managers, traders and engineers to take research from prototype into production Monitor live model performance and investigate divergence between expected and realised behaviour Teams operate across the full frequency spectrum, from high-frequency and intraday through to medium ...

bring together ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can support researchers in constructing robust behavioural models without replacing scientific judgement. The emphasis is on interpretable AI processes that complements econometric theory ...

entering a pivotal phase of growth and technological advancement. Its solutions are already being embedded into generative AI pipelines, delivering measurable improvements in model performance, while also addressing the rising energy demands of large-scale AI adoption. With a focus on practical deployment and a clear roadmap to fault ...

want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office location. We are open to this role being based in either our London … models Representation learning & embeddings Autoencoders and anomaly detection Graph/network-based models Semi-supervised and weakly supervised learning Own the end-to-end model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering ...

using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns and support model development. Data Pipelines: Help … often built around specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide. Quality & Rigour: Apply good model development discipline through version control, testing and documentation. What You’ll Bring Passion for Sport: You follow sport closely and understand the context ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology‐enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high‐risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology-enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high-risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...

deliver BIM standards and a digital strategy across pre-contract and project delivery phases. The role requires technical leadership to implement BIM processes, model validation and 4D planning, with a focus on collaboration and continuous improvement. You will work with EIR/BEP reviews, 3D model federation ...

role focuses on developing and refining General Insurance pricing models to deliver accurate, fair pricing outcomes for customers. The position involves analytical pricing work, model validation, data analysis and close collaboration with Pricing and Underwriting teams, with a hybrid Midlands-based work arrangement. #J-18808-Ljbffr ...

derivatives. You will design and implement pricing and risk models in C++ and Python, collaborate with traders, structurers and technologists, and ensure governance and model validation standards are met in a fast-paced trading environment. #J-18808-Ljbffr ...

investment and asset management teams, applying machine learning and predictive analytics to drive smarter capital decisions. You will integrate diverse data sources, validate model outputs, and present insights that influence deals and asset management across the UK. You will report to the US/Canada Lead Data Scientist with ...

data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets Ability to work with incomplete information and datasets Salary ...

environmental or analytical data role and enjoy turning complex datasets into meaningful business insight. You'll also bring: Advanced Microsoft Excel skills, including modelling, validation and error tracing. Strong analytical and problem-solving abilities. Confidence engaging with stakeholders across different teams. The ability to work independently and take ownership ...

interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design tools. Working ...

interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design tools. Working ...