176 to 200 of 419 Model Validation Jobs in the UK

models support scalability and long-term strategy Working closely with Data Engineers to validate models against ingestion pipelines and sample data Providing high-quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency … traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining domain knowledge and model documentation Engaging with architects, SMEs, governance and compliance teams as needed Managing and contributing to modelling work within the squads agile backlog Actively participating in agile ceremonies ...

responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … control systems (e.g., Git) for shared code development Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputs Effective communication skills to present technical insights clearly to both technical and commercial stakeholders Basic understanding of artificial intelligence concepts, with curiosity ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...

Civil Information Management Framework Uphold WSP’s commitment to quality, future ready, and providing value-add across projects Implement WSP UK Civil’s ‘model first’ principles across relevant projects Creation, modification and deployment ofmodel authoringtemplates and configurations to meet project requirements Creation and management of re-usable BIMcomponentto support … using existing and emerging technologies Be a key member of Civil working groups to develop smarter and more efficient ways of working Implement andmaintainBIM model validation and quality control processes Perform regular audits and distribute lessons learned and best practice Use skills to build or co-develop automations ...

join its Liquidity and Market Risk team in London with hybrid working (2 days in the office). The role focuses on stress testing, model ownership, validation-style testing and deeper analysis of model algorithms, code and data. You will monitor and govern risk models, test assumptions … develop benchmarking models. A strong technical and quantitative background in model risk, validation or governance is essential. #J-18808-Ljbffr ...

professionals and directing external third-party service providers. The role is accountable for the implementation of the full lifecycle of AI solutions including model development, validation, deployment, and integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have … best practices, whilst assessing the viability and business value for the firm. What you will have Experience in machine learning, deep learning, and AI model development Proficiencyin programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow,PyTorch, or scikit-learn. ...

professionals and directing external third-party service providers. The role is accountable for the implementation of the full lifecycle of AI solutions including model development, validation, deployment, and integration into other systems while providing feedback to continue to evolve the AI platform. The ideal candidate will have … best practices, whilst assessing the viability and business value for the firm. What you will have Experience in machine learning, deep learning, and AI model development Proficiency in programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit ...

healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus on patient safety, model reliability, regulatory compliance, and real-world clinical impact. The successful candidate will work closely with clinicians, data scientists, ML engineers, software engineers, product teams … deep-learning models using appropriate clinical datasets. Develop robust data pipelines for clinical, imaging, laboratory, physiological, and/or electronic health-record data. Implement model evaluation frameworks covering performance, calibration, robustness, bias, uncertainty, and clinically relevant endpoints. Support prospective and retrospective validation of AI systems in clinical environments. ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.* Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.* Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment.* Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.* Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

observations into actionable intelligence for commodity supply chains. You’ll work across the full lifecycle with a cross‐functional team, focusing on geospatial ML, model validation and scalable inference workflows. The role involves collaboration with science, AI and engineering to ship robust solutions. #J-18808-Ljbffr ...

shape the operating model. The role involves documenting as-is processes, bridging between business, SMEs, executives, and delivery teams, defining requirements, and supporting AI model validation and ongoing #J-18808-Ljbffr ...

Skyral Group is seeking a highly analytical verification, validation and assurance professional to own VV&A across models and integrated training systems. You will design and execute tests, validate models against data sources and SME expectations, and produce evidence packs for customers in a regulated defence context. The role ...

design cloud-native reporting systems in BigQuery. The role emphasizes accuracy, traceability and performance. You will work on data modeling, pipeline development, validation and automation, with AI-assisted development helping to improve consistency and reduce manual #J-18808-Ljbffr ...

performance, and scalability strategies to support the various business capabilities. Share perspectives about best practices, common technical issues & approaches. Support high level logical data model definition and discussions to ensure feasibility with MDG. Full life cycle implementation cycle with Blueprinting, fit gap analysis, configurations, data migrations, cutovers ...

main point of contact for information management activities on assigned projects, coordinating the sharing of sensitive and confidential information where required. Verify and validate model information and asset data to ensure accuracy and completeness, liaising with project stakeholders to maintain consistency across projects. Requirements Excellent administration and organisational skills ...

clients and Bloomberg enterprise product teams to understand how firms expect to govern access — to content and to Bloomberg's capabilities — and validate the model against real firm behaviour. You'll need to have Strong product management experience in enterprise software, SaaS or platform products, leading initiatives from concept ...

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 ...

process for new services, applications and significant changes. Ensure transitions meet agreed Service Acceptance Criteria and include a complete operational service wrapper. Validate support model, support hours, incident/request/problem processes, escalation paths, monitoring, runbooks, knowledge articles, RACI, CMDB and service catalogue updates. Ensure structured handover into ...

comprehensive AI governance frameworks that ensure the ethical, responsible, and compliant use of AI technologies across the organization. You will leverage your expertise in model risk management and regulatory compliance to influence strategic decisions and operational plans, ensuring alignment with both business objectives and regulatory standards. Your role involves … ensure compliance with evolving regulatory standards and internal guidelines Lead the identification and mitigation of risks associated with AI/ML models, ensuring robust model risk management throughout their lifecycle Oversee the validation and monitoring of AI/ML models to ensure accuracy, fairness, and compliance, utilizing advanced ...

Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs and productionise ...

Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs and productionise ...

with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more … maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) Define and implement observability and alerting for ML systems ...

tools robust to the heterogeneity of operating room environments, so that customers all over the world can benefit from tailored solutions. Own the full model lifecycle including data curation, model implementation, training, validation, deployment and maintenance. Develop within Proximie environment to enable dynamic model training ...

develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. Support deployment, monitoring … Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting roles. Exposure to cloud-based AI and analytics platforms. Understanding of Responsible AI and governance ...

manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices with experience in code optimisation, ETL frameworks and processing large-scale … working with Large Language Models (LLMs) and agentic workflow frameworks (e.g. LangGraph, LangChain). Experience developing custom evaluation harnesses to test and validate AI model outputs. Familiarity with Retrieval-Augmented Generation (RAG) architectures or fine-tuning open-source models. ...