6 of 6 Remote Model Validation Jobs in the City of London

looking to onboard two AI Validation Specialists to support the Model Validation/AI Risk & Oversight team at a large UK bank on a contract basis. The roles are primarily aligned to London or Edinburgh with hybrid working, however we can consider strong candidates in other locations … Role The bank is scaling the use of AI-enabled solutions across operational efficiency and customer-facing journeys. This includes a growing pipeline of model validations, including early agentic AI validations, alongside use cases such as complaints automation and enhancements to customer-facing chatbots. To alleviate near-term pressure ...

looking to onboard two AI Validation Specialists to support the Model Validation/AI Risk & Oversight team at a large UK bank on a contract basis. The roles are primarily aligned to London or Edinburgh with hybrid working, however we can consider strong candidates in other locations ...

/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 ...

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 ...

Plan and conduct user research to validate freemium models, pricing strategies, and monetisation opportunities. Lead discovery activities including interviews, usability testing, and concept validation for flexible product experiences. Design and execute research plans that support both short-term tactical changes and long-term strategic initiatives. Analyse and synthesise findings ...

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 ...