6 of 6 Model Validation Jobs in Central London

LSTMs/GRUs for sequential data Transformer architectures for NLP and structured data Fine-tuning and transfer learning approaches Drive experimentation frameworks, hypothesis testing, model validation, and statistical rigor Ensure robustness, generalisation, bias mitigation, and explainability in deployed models Provide technical direction on feature engineering strategies and model … Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection, model complexity trade-offs, and overfitting/underfitting dynamics Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy) Experience with deep learning frameworks ...

risk and valuation frameworks and industry best practices Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree … maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow ...

down to negotiate. That's what you'll build. What You'll Build This is genuinely 0-to-1. There is no existing model, no data pipeline, no baseline to iterate on. You're starting from a blank sheet - which means you'll need to be comfortable with ambiguity … series. This is structured, high-dimensional, real-world forecasting at a level that actually moves enterprise decisions. Own the full modelling lifecycle. Feature engineering, model selection, validation strategy, uncertainty quantification, production deployment. You'll make the calls and live with the results - which means you'll learn fast. ...

environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud ...

taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready and AI-consumable. Working within a senior, cross-functional delivery model (consulting, ontology and engineering), you will play a foundational role in building robust semantic layers and enabling high-value AI systems for clients. … graph databases, semantic layers, Foundry-style systems) Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage Implement robust data quality frameworks (validation, profiling, anomaly detection) Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection) Ensure alignment with governance, security and industry standards ...

As data consultant, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...