26 to 50 of 76 Model Validation Jobs in England

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 ...

operational constraints and compliance obligations in detail. ISO 20022 Deep understanding of ISO 20022 including message structure, mandatory and optional elements, data modelling, mapping, validation and cross scheme differences. Experience designing or reviewing solutions that implement ISO 20022 end to end. Architecture and solution design Significant experience ...

operational constraints and compliance obligations in detail. ISO 20022 Deep understanding of ISO 20022 including message structure, mandatory and optional elements, data modelling, mapping, validation and cross scheme differences. Experience designing or reviewing solutions that implement ISO 20022 end to end. Architecture and solution design Significant experience ...

operational constraints and compliance obligations in detail. ISO 20022 Deep understanding of ISO 20022 including message structure, mandatory and optional elements, data modelling, mapping, validation and cross scheme differences. Experience designing or reviewing solutions that implement ISO 20022 end to end. Architecture and solution design Significant experience ...

operational constraints and compliance obligations in detail. ISO 20022 Deep understanding of ISO 20022 including message structure, mandatory and optional elements, data modelling, mapping, validation and cross scheme differences. Experience designing or reviewing solutions that implement ISO 20022 end to end. Architecture and solution design Significant experience ...

already at £100k ARR, growing month-on-month and have investment from angels. We have a product customers love, a validated business model, and we are now preparing to expand to Airbnb and Expedia. We are a lean team of two founders looking for a Founding Engineer. You will ...

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. ...

Role Responsibilities: Gather and document detailed business requirements using appropriate tools and formats. Lead stakeholder engagement and facilitate workshops to validate needs and solutions. Model current and future business processes to guide technology and process improvement. Deliver discovery, alpha, and beta phase outputs where required. Support change management through ...

Plan and research to validate freemium models, pricing, and monetisation Run discovery activities, including user interviews, usability testing, and concept validation Design research plans covering both tactical improvements and strategic redesign initiatives Analyse and synthesise research findings into clear, actionable insights Collaborate closely with Product Managers, Designers, Engineers ...

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 ...

8+ years experience) Clearance: SC clearable (no caveats) Key Responsibilities Implement, integrate, and optimise complex mathematical and signal processing models into production software. Apply model-driven development , combining both autogenerated and hand-written code. Ensure high code quality through adherence to clean coding principles, static analysis, and best practices. … Collaborate with teams on model simulation, validation, and verification , using MATLAB/Simulink or similar tools. Maintain comprehensive software documentation deliverables and reporting. Support unit and wider software testing to ensure reliability and performance. Contribute to the ongoing improvement of software architectures and toolchains . Qualifications Required Skills ...

Artificial Intelligence/Machine Learning Engineer Technology Incubation & Innovation Lab Location: Staines-upon-Thames, Surrey, UK Working model: Hybrid 3 days onsite, 2 days remote Fixterm 12 month Contract About Our Client Our client is a global technology leader with a dedicated innovation and incubation lab focused on transforming … such as ECG or PPG Proficiency in Python for data analysis, hypothesis testing, and machine learning Experience with supervised and unsupervised learning methods and model evaluation Strong understanding of metrics such as AUC ROC, precision, recall, and cross validation Experience deploying or validating predictive models in clinical ...

looking for an enthusiastic and results-driven individual to join our team as a dedicated Labour Model Data Analyst. This role is focused specifically on the design, development, maintenance, and rigorous analysis of our core Labour Models (Labour Standards) across our entire retail network, covering Convenience, Supermarkets and Logistics. … accuracy of the core labour models. As the specialist in Labour Planning, you will take ownership for the successful, smooth, and rapid development and validation of our Labour Models. You'll be responsible for: Labour Model Design and Validation: Designing, building, and maintaining sophisticated, data-driven Productive ...

Full Stack Data Scientist/Analyst (London) Company Overview: Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model … Ship lightweight but production-ready models: churn prediction, usage-based forecasting, anomaly detection, upsell signals, etc. Implement monitoring and automate downstream workflows using model outputs. 4. Self-serve data products Build dashboards in Looker that expose the right metrics to every team. Make analytics self-serve so anyone ...

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 ...

marketing and commercial teams. Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment. Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using … Docker and Kubernetes. Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders. Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team. Required Skills and Experience ...

materials scientists, identifying meaningful features and translating complex datasets into impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools … such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. Work within an agile development environment and help prioritise high-value opportunities for rapid delivery. Essential Skills Bachelors degree (2:1 or above) in a STEM field Strong Python development skills Hands ...

prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. Working closely with the portfolio manager, researchers and engineers, you will enable data … expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred ...