1 to 25 of 45 Remote/Hybrid Model Validation Jobs in the UK excluding London

Senior Decision Scientist - Validation £60,000 - £80,000 | London Are you a credit risk modelling specialist looking to move into a high-impact validation role within a fast-growing fintech? This is an opportunity to join a well-established business where data science and automated decisioning … They have built a highly data-driven lending platform powered by machine learning and automated credit decisioning. This role offers the opportunity to influence model governance and validation standards within a business where analytical insights directly shape commercial outcomes. THE ROLE As a Senior Decision Scientist within ...

customers. Can independently and constructively review others' work and can challenge decisions in a positive way Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Can clearly articulate ideas with non‐technical language and tell a simple story to non technical audience … customers. Can independently and constructively review others' work and can challenge decisions in a positive way Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring #J-18808-Ljbffr ...

customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring - Can clearly articulate ideas with non-technical language and tell a simple story to non technical audience … customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited ...

attack-path analysis, threat investigation, exposure prioritization, GraphRAG , and AI-assisted security operations. Key Responsibilities Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards. Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/… data lakes, and case-management systems. Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures. Implement graph analytics for attack ...

technical modelling specialist. Comfortable operating across both analytics and data science disciplines. Build intuitive Power BI dashboards that act as the first stage of model productionisation before solutions are integrated into broader business workflows and operational processes. Key Requirements Essential Skills Data Science & Data Analytics Data Visualisation & Power … including AI-enabled Conversational Insights Data Product Development Exploratory Data Analysis (EDA) & Feature Engineering Model Development & Selection Model Validation & Governance Model Productionisation & Monitoring End-to-End Data Science Model Lifecycle Management Analytics Integration into Business Workflows & Operational Processes Desirable Skills Financial Services experience, particularly within ...

doing: · Develop and enhance reporting, dashboards and analytical products that provide insight to senior business leaders and customers. · Centralise, cleanse, validate and model data from multiple business systems within modern data platforms and data lake environments. · Build and maintain data pipelines, automated solutions and analytical tools using technologies including ...

systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes Mentoring junior team members and contributing to solution architecture, Preparing and presenting analytical results to business … team growth. What We Offer Opportunity to work on cutting-edge AI and ML projects, Collaboration with international clients (US and Europe), Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days, Supportive, innovation-driven work environment focused ...

implementing Ahead-of-Time or Just-in-Time compilation flows for AI workloads Transforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisation Validating, benchmarking, profiling, or analysing AI model performance Developing compiler technologies, intermediate representations, or hardware abstraction layers Building automated tests … machine learning runtime development and hardware-accelerated AI execution . The work spans the end-to-end AI software stack, from framework-level model execution and backend delegation through compiler flows to NGP acceleration. Working collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning ...

recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams to translate analytical results into actionable insights, Qualifications We don’t expect you to know everything … looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux ...

immunohistochemistry, spatial transcriptomics and clinical variables. Build and maintain reproducible pipelines for slide preprocessing, stain normalisation, tissue and cell segmentation, feature extraction and model evaluation, using version control and clear documentation. Curate and manage large imaging and clinical datasets in line with ethics approvals, data protection … information governance requirements. Carry out external validation across centres and scanners, and assess model calibration, bias and failure modes. Bring histopathological and computational thinking together, working with pathologists to design annotation protocols, check that model outputs make morphological sense and interpret explainability analyses. Support the principal investigator ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

reliability. Write, review, and improve high‐quality production code while promoting engineering best practices. Provide constructive technical guidance and code review feedback, including validation of AI‐generated code. Champion software engineering excellence through testing, automation, documentation, and continuous improvement. AI‐Native Software Development Build production‐grade AI agents … solve real‐world business challenges. Required experience developing evaluation and testing frameworks for LLM and AI‐agent solutions, including regression testing, evaluation datasets, and model performance validation. Experience leveraging AI‐assisted development practices and transforming manual engineering workflows into automated solutions. Experience with infrastructure as code, CI/ ...

governance and engineering assurance. Provide leadership on systems integration, technical risk, safety assurance and cyber security considerations. Apply systems engineering principles, including the V-model, verification and validation. Work closely with project management, clients, end users and specialist engineering teams to resolve technical challenges. Ensure engineering solutions meet contractual ...

Data Analytics. Advanced Power BI dashboard development and data visualisation. Experience with AI-enabled conversational insights. Exploratory Data Analysis (EDA) and feature engineering. Model development, selection and validation. Model governance, productionisation and monitoring. Experience managing the full end-to-end data science lifecycle. Ability to translate complex analysis ...

Data Analyst – Birmingham/London, Flexible hybrid working | Full-Time/Permanent Competitive salary + bonus and excellent benefits including healthcare, wellbeing support, 27 days' annual leave plus bank holidays, life insurance and more. We ...

selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate model accuracy, inference speed, memory usage and application performance. Develop … automated tests for software components and AI functionality. Diagnose issues involving image quality, model behaviour and software integration. Collaborate with colleagues to translate application requirements into working solutions. Document technical decisions, evaluation results and implementation details. Essential Skills and Experience Commercial software development experience, with strong capability ...

selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate model accuracy, inference speed, memory usage and application performance. Develop … automated tests for software components and AI functionality. Diagnose issues involving image quality, model behaviour and software integration. Collaborate with colleagues to translate application requirements into working solutions. Document technical decisions, evaluation results and implementation details. Essential Skills and Experience Commercial software development experience, with strong capability ...

selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing pipelines. Investigate model accuracy, inference speed, memory usage and application performance. Develop … automated tests for software components and AI functionality. Diagnose issues involving image quality, model behaviour and software integration. Collaborate with colleagues to translate application requirements into working solutions. Document technical decisions, evaluation results and implementation details. Essential Skills and Experience Commercial software development experience, with strong capability ...