76 to 100 of 194 Model Validation Jobs in England

for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain … gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs More ❯

for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain … gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs More ❯

75PH Via Umbrella company Duration: 12-months Location: Bristol As the Performance & Modelling Lead, you will be responsible for driving the simulation, modelling, and validation activities across the entire RF Seeker chain. This includes everything from radar propagation and hardware response to the development of sophisticated embedded software algorithms. More ❯

75PH Via Umbrella company Duration: 12-months Location: Bristol As the Performance & Modelling Lead, you will be responsible for driving the simulation, modelling, and validation activities across the entire RF Seeker chain. This includes everything from radar propagation and hardware response to the development of sophisticated embedded software algorithms. More ❯

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Job ID: Amazon EU SARL (UK Branch) Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with More ❯

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how More ❯

to support generative AI workflows and large language models (LLMs) in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle … from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM) operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based … handling sensitive data. Evaluate and integrate MLOps tools (MLflow, Kubeflow, etc.) to enhance efficiency. Implement monitoring and alerting systems to detect anomalies and maintain model reliability. What We’re Looking For 3+ years of experience in software engineering, infrastructure, or MLOps roles. Proven expertise in building and maintaining ML More ❯

to support generative AI workflows and large language models (LLMs) in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle … from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM) operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based … handling sensitive data. Evaluate and integrate MLOps tools (MLflow, Kubeflow, etc.) to enhance efficiency. Implement monitoring and alerting systems to detect anomalies and maintain model reliability. What We’re Looking For 3+ years of experience in software engineering, infrastructure, or MLOps roles. Proven expertise in building and maintaining ML More ❯

development of analysts through the Training Academy, Knowledge Shares and feedback. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs … providing rationale for variables entered, understanding coefficients and SFX. Taking base models, oversee or build in additional improvements and progress the model towards finalisation. Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary More ❯

development of analysts through the Training Academy, Knowledge Shares and feedback. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs … providing rationale for variables entered, understanding coefficients and SFX. Taking base models, oversee or build in additional improvements and progress the model towards finalisation. Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary More ❯

all risks and regular monitoring of Delegated underwriting contracts. Construction, review and maintenance of pricing models for varied classes of business. Analysis of pricing model data including parameter validations. Support for syndicate business planning process. Production and review of pricing management information. New business initiative analyses and independent reviews. More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring More ❯

Specialty business. You will provide consultation to senior managers and other groups on actuarial, underwriting, financial, and strategic matters. Core responsibilities include case pricing, model governance, and planning. You will work closely with: Underwriting and Portfolio Management: To enhance underwriting decisions through account pricing, portfolio analysis, and product development. … monitoring Monthly renewal rate monitoring and rate adequacy analysis Portfolio profitability analysis for new opportunities Support group pricing standards, analytics, and new products Capital Model and Business Plan Parameterisation Support validation of loss ratios and parameterise capital model risks Analyze claims frequency and severity distributions Work with 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 ❯

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 ❯