151 to 175 of 193 Model Validation Jobs in England

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

within Structured Rates at a leading investment bank. This position offers the opportunity to work directly with traders, quants, and risk teams, contributing to model assessment, optimization, and performance testing for exotic interest rate derivatives. You will work in a dynamic team of 13, where your contributions will directly … front-office career, this role provides a great opportunity for growth and increased exposure to trading activities. What You'll Do: Evaluate and refine model documentation to ensure quality and regulatory compliance. Collaborate with traders and quants to assess and understand the implications of model choices for structured … or scripts. Design, implement, and run new performance tests to optimize models for live trading environments. Debug and enhance C++ production code to improve model efficiency and accuracy. Propose, design, and implement alternative model components using Python (and ideally C++). Develop automated tools in Python to streamline More ❯

Lead the development of credit risk models and play a key role in our integration strategy. Collaborative Environment : Work closely with Head of Credit Model Integration and the talented team across different departments. Become a catalyst for Credit Modelling change : Developing Group Models and new ways of working for … a Group Modelling function. Transform model risk practice: Help embed improvements in model risk management across the Group. If youre ready to help shape the future of credit risk modelling at Coventry Building Society, we want to hear from you! Find out more about the fantastic benefits of … About you We are looking for someone with the experience and ability to develop new models and contribute to driving forward improvements in credit model delivery practice across the Group. To be successful in this role, it's essential that you're able to demonstrate: Highly proficient in programming More ❯

partner to women worldwide. The Job What you'll be doing You'll be responsible for: Leading GenAI technical strategy and implementation, including: Developing model benchmarking and evaluation frameworks Driving AI tooling development and integration Designing human-in-the-loop systems Establishing dataset collection and curation methodologies Architecting AI … infrastructure (model serving, monitoring, scaling) Optimizing performance and defining quality metrics Providing cross-functional leadership: Partnering with medical teams for model safety validation Collaborating with product teams to define model usefulness metrics and user needs Working alongside product peers on solution design and user experience Making More ❯

source, fostering collaboration and transparency within the scientific community. High-Impact Focus: We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation: Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access: We are committed to ensuring that new cures are accessible to all … Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and business leadership to develop, implement, and validate … advanced models and algorithms aimed at transforming drug discovery and repurposing. How you'll make an impact - Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge More ❯

the business. Liaise with the IT team and data scientists to strive for greater functionality in our data systems. Establish efficient, automated processes for model development, validation, implementation and documentation. Profile The successful Data Engineer should have: Proficiency in Big Data Modelling, ETL and Data warehousing. Proficient in More ❯

A/B experiments, gather data, and perform statistical analysis to validate your models. Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving. Explore and research innovative machine learning approaches to push the boundaries of what's possible. About the team The More ❯

Integration of multi-omics datasets (single-cell and bulk transcriptomics, genomics, and clinical data). Collaborating with biocurators to curate and preprocess datasets for model training and validation. Ensuring robust model performance through testing and validation using benchmarking datasets. Contributing to open-source dissemination of datasets and More ❯

tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics … volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling More ❯

tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics … volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling More ❯

projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client innovation Take ownership of … workstreams within larger projects, with opportunities to lead as you grow Work across the stack — from APIs and infrastructure to model tuning and validation Communicate clearly with both technical and non-technical audiences Bring curiosity, pace, and clarity to everything you do YOUR SKILLS AND EXPERIENCE Must-Have More ❯

projects. THE ROLE As a Data Scientist, you will: Build and deploy machine learning solutions end-to-end, from SQL-based feature engineering to model development in Python and cloud deployment (AWS) Prototype and test new ideas that solve real business problems or spark client innovation Take ownership of … workstreams within larger projects, with opportunities to lead as you grow Work across the stack — from APIs and infrastructure to model tuning and validation Communicate clearly with both technical and non-technical audiences Bring curiosity, pace, and clarity to everything you do YOUR SKILLS AND EXPERIENCE Must-Have More ❯

to provide business actionable analysis to other departments of Pattern. KEY ACCOUNTABILITIES Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools. Provide analysis of these inputs and outputs to the ESP team and external groups. Integrate large … to improve input and output data for modeling accuracy and efficiency. Develop pipeline infrastructure between modeling tools that will reduce the manual nature of model execution in coordination with the transition to the HIVE. Work with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align model More ❯

and Healthcare Management. We are seeking a talented Data Scientist to join our team and utilise our new data platform on Snowflake to drive model insights and forecasting for BUPA. Alongside supporting the team with data scientist techniques. How you'll help us make health happen: Lead Inflation Trend … Insights & Forecasting: Utilise Bupa's cutting-edge data platform to uncover inflation trends and support inflation forecasting. Model Building & Insights: Create impactful timeseries models (and other models as required) and deliver actionable insights to stakeholders. Be able to validate and explain model improvements - Using statical technical to valid … Large Data Sets: Work with both structured and unstructured data to derive insights. Collaborate with Engineers: Partner with data engineers to define requirements for model builds and data feeds. Innovate & Challenge Norms: Lead best practices and challenge existing processes to drive innovation. Key Skills/Qualifications needed for this More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

Ensure data quality and integrity in all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement advanced machine learning algorithms for fraud prevention and user personalization Train and fine-tune machine learning models … using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features … for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized applications using Kubernetes. Code Review More ❯