26 to 50 of 142 Model Validation Jobs in the UK excluding London

create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what … travel, as engagements benefit from it Experience within financial services, particularly wealth, private banking, or asset management Experience designing or contributing to AI governance, model validation, or guardrail frameworks Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage :improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders … across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo.What you’ll ownBorrowing ML roadmaps across UK optimisation, new customer segments, and EU expansionFaster model improvement through new data ...

collaborative development, deployment and professional practice. Statistics, data science and artificial intelligence: probability, statistical inference, regression, data preparation, data visualisation, supervised and unsupervised learning, model validation and interpretation, and critical consideration of contemporary AI, including generative AI, large language models and AGI. Professional and responsible computing: accessibility ...

Ensure test coverage addresses CCR exposure calculations, netting, collateral and margining workflows, trade lifecycle events and relevant SA-CCR/IMM requirements. Oversee data validation and reconciliation testing across source feeds, risk engines and downstream outputs, investigating discrepancies with developers, business analysts and risk specialists. Maintain clear traceability between … timelines, requirements and proposed solutions where quality, testability or control standards may be compromised. Maintain testing documentation and evidence for internal audit, regulatory reviews, model validation teams and senior risk committees. Work with project managers, vendors, risk owners and technology leadership to resolve delivery issues and maintain consistent ...

years of longitudinal follow up and you will be expected to have or develop skills in longitudinal modelling, and development and validation of prediction models. The focus of this project is on biological ageing - with ageing clocks derived from retinal imaging, or proteomic analysis. We are interested ...

delivery within the Dreadnought Active Vehicle Control (AVC) Functional Software Team . You'll be part of a multi-disciplinary engineering environment adopting a Model Based Design approach-developing and validating behavioural/dynamic models used to derive requirements, support verification & validation activities, and gain stakeholder acceptance … Simulink Verify models meet user needs and maintain alignment with the system being modelled Integrate models into a wider whole-boat/vehicle control model framework Support deployment of models into real-time environments (e.g., rigs) Support model validation to ensure models are representative of real components ...

ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with ...

ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with ...

delivery within the Dreadnought Active Vehicle Control (AVC) Functional Software Team . You'll be part of a multi-disciplinary engineering environment adopting a Model Based Design approach-developing and validating behavioural/dynamic models used to derive requirements, support verification & validation activities, and gain stakeholder acceptance … Simulink Verify models meet user needs and maintain alignment with the system being modelled Integrate models into a wider whole-boat/vehicle control model framework Support deployment of models into real-time environments (e.g., rigs) Support model validation to ensure models are representative of real components ...

Prepare reliable infrastructure for future commercial deployment. Engineering Data, Simulation & Computational Modelling • Develop simulation, optimisation, computational modelling and Digital Twin tools for autonomous machinery. • Model machine performance, operating sequences, capacity and efficiency. • Analyse machine, sensor and operational data and test engineering concepts before physical implementation. • Work with robotics ...

commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement and will be accountable for demonstrating measurable operational or commercial value. The role will also influence technical … support strategic and operational decision making. Develop, validate and deploy predictive models, forecasting models and AI solutions that deliver measurable business value. Evaluate model effectiveness and monitoring model drift. Develop and maintain governed, trusted datasets for BI/analytics and data science use cases. Ensure appropriate data quality ...

exploration to deployment, turning insights into production-ready models for international clients. You will collaborate with diverse teams, handle data cleaning, feature engineering, and model validation, and contribute to cross-functional projects across US and Europe. #J-18808-Ljbffr ...

customer service, labour productivity, costs and budgets. Utilise data from various sources (Fabric, WMS, SAP ect.) to spot trends, risks and root causes. Validate, model and manage the data behind reports. Automating manual reporting and finding ways to make information easier to access. Working with stakeholders across the business ...

execute the design of high voltage LNDMOS devices, considering breakdown voltage, on-resistance, charge balance, and ruggedness. Utilize CAD and TCAD simulation tools to model electrical, thermal, and reliability characteristics, iterating designs to achieve optimal performance. Device voltages will be over 7 volts and as high as 120 volts ...

also get opportunity to learn other engineering software such as Simcenter Amesim and Simcenter Star CCM+. You will develop interesting CFD models and produce validation studies demonstrating the capabilities of the software. Role 2 : You will focus primarily on core software development, engineering robust new features and automated testing ...

convert, optimise and manage assets, and reusable components and architectures that scale across facilities. Implement physics, system states, equipment behaviour and engineering logic to model normal operation, faults, failures and abnormal scenarios, allowing configurations to be tested safely and supporting virtual commissioning of equipment and control strategies. Develop automation ...

vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber and data engineering teams to productionise AI capabilities and integrate them into operational systems. Champion Responsible AI principles … practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical and non‐technical stakeholders. ...

vision, NLP/LLMs, time‐series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber and data engineering teams to productionise AI capabilities and integrate them into operational systems. Champion Responsible AI principles … practices including CI/CD, testing, version control and code quality standards. Experience with data processing and analysis tools including Pandas, NumPy, SQL and model deployment technologies such as FastAPI, ONNX or TorchScript. Soft Skills & Collaboration Strong communication skills with the ability to engage technical and non‐technical stakeholders. ...

improving single- and two-qubit gate performance. Develop Hamiltonian-based simulations to understand quantum dynamics, driven interactions and time evolution under realistic experimental conditions. Model and analyse open quantum systems, incorporating decoherence, dissipation and noise mechanisms. Design experiments to identify error sources, validate physical models and establish hardware performance ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

deployment and ongoing monitoring. Work with engineering and data teams to deploy models into production, considering scalability, maintainability and performance. Evaluate and monitor model performance, identifying opportunities for improvement. Data Analysis & Scoring Explore large and complex datasets to identify patterns, opportunities and suitable modelling approaches. Develop scoring and predictive … solutions such as propensity, classification, ranking, segmentation or behavioural models. Turn model outputs into actionable scores, insights or decision-support tools. Work closely with Data Scientists, Data Engineers and business stakeholders to deliver end-to-end solutions. Clearly communicate analytical approaches, findings and recommendations to both technical ...

validate and deploy these models working closely with clinical colleagues, and integrate them with our population health system and data integration platform so that model outputs feed directly back into the information clinicians see. You'll be applying deep learning directly to patient outcomes -- helping clinicians spot disease progression … before deployment. Integrating models with our population health system and data integration platform so that predictive insights reach clinical records and care workflows. Implementing model monitoring, validation, explainability and drift detection approaches. Building natural language processing (NLP) models to derive insights from clinical and operational text data where ...

that support investment decisions. Create and refine ROAS and payback models. Support budgeting, scaling and portfolio allocation decisions with robust forecasting frameworks. Continuously improve model accuracy through validation and iteration. User Acquisition Analytics Partner closely with User Acquisition teams to help optimise marketing investment. Identify opportunities to improve ...

interrogate financial data, challenge outputs and identify inconsistencies or errors. Experience with Adaptive HTML reporting. Previous involvement in finance systems implementations, upgrades or model rebuilds. Advanced Excel skills and excellent analytical capabilities. Confident working independently with Finance stakeholders and external implementation partners. Desirable Experience Oracle NetSuite implementation or integration ...

Mechanical Design Engineers, Material Scientists, nanofabrication specialists, Cryogenic specialists and Quantum Test Engineers. Your primary focus will be thermal simulation and optimisation. You’ll model how materials, components and interfaces behave as they move into the cryogenic regime, tackling challenges such as thermal contraction, material mismatch and heat flow. ...