1 to 25 of 38 Permanent Model Validation Jobs in London

LEAD MODEL VALIDATION ANALYST £80,000 LONDON THE COMPANY This company is an exciting and profitable FinTech. They have an excellent culture and pride themselves on using data and analytics to enhance their lending ability. THE ROLE Leading the end-to-end validation, analysis and reviews … models across the business Working with models including scorecards and IFRS9 Driving the creation and review of validation reports, while collaborating closely with model developers and owners to ensure findings are clearly understood YOUR SKILLS AND EXPERIENCE Essential to have validated models in the consumer lending space Coding ...

LEAD MODEL VALIDATION ANALYST £80,000 LONDON THE COMPANY This company is an exciting and profitable FinTech. They have an excellent culture and pride themselves on using data and analytics to enhance their lending ability. THE ROLE Leading the end-to-end validation, analysis and reviews … models across the business Working with models including scorecards and IFRS9 Driving the creation and review of validation reports, while collaborating closely with model developers and owners to ensure findings are clearly understood YOUR SKILLS AND EXPERIENCE Essential to have validated models in the consumer lending space Coding ...

innovation gains. Design, code, train, and test AI models tailored to use cases (e.g., NLP, CV, RAG, forecasting, etc.). Perform effort estimation and model validation and monitor deployment success and cost-performance trade-offs. Collaborate closely with local technical leads while owning the technical delivery ...

completeness. Support Reference and Master Data Management (MDM) processes and improvements. Data Visualization & Analytics Use Power BI, Tableau, or similar tools for data validation, analysis, and impact assessments. Translate complex datasets into clear visual insights to support decision-making. Partner with BI teams to ensure business requirements align with ...

models, definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users … primary point of contact and subject matter expert for all matters relating to data models within your area of responsibility. Champion data model governance and ensure models are maintained in line with organisational standards and policies. Support the integration of new data sources and the evolution of the enterprise ...

databases, embeddings, and graph/temporal data systems. Familiarity with cloud-based deployment (AWS/Azure), containerization, and observability tooling. Experience with prompt engineering, model fine-tuning, quantization, or optimization techniques. Knowledge of multi-agent orchestration platforms, AI-enabled SDLC tools, or automated documentation pipelines. Participation in industry forums ...

databases, embeddings, and graph/temporal data systems. Familiarity with cloud-based deployment (AWS/Azure), containerization, and observability tooling. Experience with prompt engineering, model fine-tuning, quantization, or optimization techniques. Knowledge of multi-agent orchestration platforms, AI-enabled SDLC tools, or automated documentation pipelines. Participation in industry forums ...

/Airflow), MLOps (Docker/AWS/Azure/GCP), and interactive dashboards (Tableau/Power BI) Drive client impact – from EDA and model validation to ethics-compliant AI strategies across EMEA sectors like energy, automotive, and infrastructure What we’re looking for 5+ years hands ...

/Airflow), MLOps (Docker/AWS/Azure/GCP), and interactive dashboards (Tableau/Power BI) Drive client impact – from EDA and model validation to ethics-compliant AI strategies across EMEA sectors like energy, automotive, and infrastructure What we’re looking for 5+ years hands ...

using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning and reproducibility, ensuring full auditability Designing feature engineering strategies and contributing to feature store development Monitoring live models, analysing performance and driving continuous …/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain, LangSmith or LangGraph Understanding of model validation, evaluation techniques and production monitoring Experience working in cross-functional teams from problem definition through to delivery Strong communication skills, with the ability ...

Work closely with the product team to prioritise features, refine user stories, and support the full product lifecycle. Assist in functional design, testing, and validation of new features before release. Help maintain internal product documentation, user workflows, and configuration standards. Pre-Sales & Demo Environment Configuration Configure and maintain ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We're Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We’re Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We’re Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

requirements into Workiva ready solutions Support testing and client adoption activities What We’re Looking For: Strong data analytics background, including data modelling and validation Hands on Workiva experience (Sustainability Module ideally) Understanding or Proficiency in SQL Good understanding of ESG reporting frameworks Confident communicator and comfortable being ...

Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting … skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication ...

Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting … skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication ...

developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization … goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. ...

developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models, such as optimization … goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact team with a broad remit and diverse technical backgrounds. ...

Science Strategy: Define and advise on the data science approach for your product, ensuring a balance of analytical rigor, interpretability, and scalability, while enabling model reuse across multiple client contexts. Client Engagement: Collaborate with sector teams, go-to-market specialists, and solution architects to uncover client challenges, showcase product … capabilities, gather feedback, and influence development priorities. Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining algorithms, enhancing features ...

Science Strategy: Define and advise on the data science approach for your product, ensuring a balance of analytical rigor, interpretability, and scalability, while enabling model reuse across multiple client contexts. Client Engagement: Collaborate with sector teams, go-to-market specialists, and solution architects to uncover client challenges, showcase product … capabilities, gather feedback, and influence development priorities. Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining algorithms, enhancing features ...

We’re looking for an innovative Artificial Intelligence Technology Consultant to join a forward‐thinking Strategy & Consulting team in London. You’ll be instrumental in assessing leading AI technologies, shaping AI strategy, and helping clients ...

We’re looking for an innovative Artificial Intelligence Technology Consultant to join a forward‐thinking Strategy & Consulting team in London. You’ll be instrumental in assessing leading AI technologies, shaping AI strategy, and helping clients ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...