20 of 20 Remote Model Validation Jobs in the UK excluding London

Corporate Audit Services (CAS) performs operational audits in the area of Model Risk with a dedicated Models team. As part of this team, an Audit Supervisor Specialist plays a key role in providing assurance on Model Risk, with a worldwide coverage, and across all risk and business domains. … The Team You will be located in Amsterdam within the Model Risk audit team, working in hybrid mode between home and the office. International audits are performed as a joint effort between local audit teams and central model risk experts. This team is part of the CAS Risk … supported and innovation is stimulated. Roles and responsibilities As an Audit Supervisor Specialist for Market Risk you are a Subject Matter Expert in multiple model (risk) related domains. You are responsible for performing model audits and contributing to model audit strategy development (including (agile) execution, and data More ❯

and its application to risk management in banking You will have strong Wholesale IRB background (essential) with hands-on experience in IRB credit risk model development, and a strong understanding of IRB approval process and existing regulations are a must, along with familiarity with both local and relevant international … regulations within financial services e.g. PRA/ECB supervision Possess hands-on experience in Wholesale IRB credit risk model building and/or validation (i.e., beyond audit or review activities) - the interview process will involve a deep dive into the technical knowhow of modelling, validation techniques and … Spain, Middle East, Netherlands, South Africa, my client is a boutique firm with a demonstrable focus around Credit Risk Management, modelling, data analytics and model validation etc. Working with a range of innovative, ambitious, growing and forward-thinking Financial Services businesses, my client differentiates itself from the larger More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or Stateflow, Python including PyTorch, TensorFlow, Open AI-Gym/Universe or Model …/POMDPs, specialist systems, game theory, decision support systems, multi-agent systems Data fusion and state estimation/tracking algorithms e.g. Kalman Filtering, multiple-model tracking methods, particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory More ❯

on optimising data pipelines Identify streamline and optimise inefficient processes Prepare and deliver presentations and visual materials that effectively communicate software design decisions and model logic to non-technical stakeholders Skills Knowledge and Expertise A good first degree or higher degree in a highly numerate subject is essential Minimum … performance profiling and optimisation Good understanding of data structures and algorithms An enthusiastic problem-solving mindset with a desire to solve technical problems and model/forecast intricate real-life systems The ability to communicate complex technical concepts to those with little or no technical background in a meaningful More ❯

aircraft Loads and Aeroelastics to join our team. This engineer will work within a team responsible for all aspects of aircraft structural dynamics, from model development and validation to the prediction of flutter and the computation of ground and flight loads for the whole aircraft. As a Senior More ❯

and clinical requirements. Collaborating with software engineers and product teams to integrate models into scalable production systems. Building internal tools and frameworks to support model testing, monitoring, and performance tracking. Producing clear and structured technical documentation for both internal and external use. Key skills required: Solid background in Python … Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity you've been looking for, apply now or reach out directly for a confidential conversation. More ❯

new system Design and integrate new functionality into an existing sub-system in Simulink Collaborate with other engineers to design and prototype a detailed model of a system to understand observed simulated performance Design and prototype algorithms in Matlab, taking into account hardware limitations and constraints. Investigate the cause … if you have experience in any of the following areas: Systems Engineering specialisms, e.g. Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems Domain specialisms, e.g. Digital signal processing RF systems Multi-sensor data fusion and tracking Real time data simulation/generation Security More ❯

About the Role Location: United Kingdom, Manchester Remote vs. Office: Hybrid (Remote/Office) Company: Siemens Energy Limited Organization: Grid Technologies Business Unit: Grid Solutions Employment Type: Full-time Experience Level: Not specified A Snapshot of Your Day: As a More ❯