76 to 100 of 107 Model Validation Jobs in the UK

initiatives throughout their lifecycle. Establish monitoring, observability, and performance management capabilities for AI models, services, and AI-powered applications. Define and manage processes for model deployment, versioning, validation, retraining, and lifecycle management. Ensure AI solutions meet operational requirements related to reliability, scalability, security, compliance, and business continuity. Develop … track key performance indicators (KPIs) and service metrics related to AI adoption, model performance, operational efficiency, and business value realization. Lead incident management, root-cause analysis, and remediation efforts for AI-related production issues. Collaborate with data engineering, platform, security, and infrastructure teams to optimize AI platform operations ...

structured and semi structured datasets Deploying models into production using containerised environments Working closely with stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced … trend evaluation Excellent exploratory data analysis skills Desirable Experience Knowledge of ensemble and rank aggregation techniques such as Robust Rank Fusion Experience with model explainability tools such as SHAP or LIME Exposure to model monitoring frameworks and drift detection Background in regulatory, risk or financial crime related projects ...

case business cases are developed and are used to prioritise delivery Carry out a review of the delivery approach based on a conceptual model that identified some 60 KDEs (Key Data Entities) and assess the best approach for ETL, data modelling and the creation of a gold reporting layer. … technology choices and processes Build a Roadmap for delivery and identify resource requirements Transition the programme from fully outsourced to potentially hybrid or insourced model Manage the handover and knowledge transfer from third-party consultancy to internal teams Ensure best practice programme management disciplines are employed in the delivery ...

pinpoint exactly where Wise scales next. This role is about bridging the gap between deep technical research and real-world impact. By ensuring our model outcomes are robust, transparent, and—most importantly—actionable, you’ll turn complex data science into the insights that drive our mission and reach millions … solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range of model types, confidently selecting between gradient boosting, neural networks, linear regression, or a blend, based on the specific problem and desired outcome. Leadership: 2+ years experience ...

Engineering Data Scientist, Mechanical Engineering Analyst, Data Analyst, Data Scientist, Mechanical Engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity - Data Scientist Are you an engineer with ...

Senior Data Analyst £55,000 London, UK (Hybrid) Our client is a fast-growing data and media technology business using advanced analytics to power smarter campaign strategy and execution. By combining audience insight, machine learning ...

learning models and advanced analytics solutions * Partner with senior stakeholders to identify opportunities where data science can drive commercial impact * Establish best practices for model development, validation, and governance * Deliver measurable outcomes through scalable data science solutions and clear reporting of impact Your Skills & Experience * Strong experience leading ...

tailored to their specific analytical requirements. ● Productisation of Data: Translate raw tracking data into productionised Data Science models that provide a clear commercial advantage. ● Model Assurance & Validation: Oversee rigorous back testing and optimisation cycles to ensure all models maintain the high level of accuracy and reliability required ...

agile development team Identify and prioritize opportunities to rapidly deliver new capabilities Build and maintain robust MLOps pipelines to support scalable, reproducible, and automated model development, deployment, and monitoring Leverage tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management, ensuring … strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience ...

data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and market risk analysis. Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends … mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience ...

data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and market risk analysis. Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends … mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience ...

metric definitions, data cuts, hypotheses, guardrails, and acceptance criteria. Work with ML teams on AI-driven pricing tools by helping define business requirements, validate model outputs, identify commercial edge cases, and translate recommendations into practical business actions. Help define and interpret success measures, including revenue impact, adoption, customer response … requirement drafting, documentation, and stakeholder communication. Experience working with ML, data science, or advanced analytics teams on AI-driven pricing tools, pricing recommendation engines, model-led decisioning, or similar commercial analytics products. Ability to translate data into practical business recommendations, not just produce analysis. Ability to define analytical requirements ...

Data Scientist Knowsley - 3 days a week The Company They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability ...

hybrid, with expected visits to Oxford or London for onsite collaboration. Responsibilities Design research data platforms and cloud analytics environments. Define environments supporting model development, validation, deployment and reproducible research. Define the target-state architecture for: human genetics; genome-wide association studies; rare-disease genetics; target prioritisation; translational … data-intensive scientific workflows. Experience designing cloud analytics and AI/ML platform architectures. Understanding of the full machine-learning lifecycle, including development, validation, deployment, monitoring and reproducibility. Experience with knowledge graphs, semantic technologies, retrieval-augmented generation or scientific copilots. Experience integrating research, clinical, real-world evidence, literature ...

premise, and hybrid environments , ensuring scalability, resilience, and security-by-design. Design and support AI and machine learning architecture , including MLOps delivery frameworks , model lifecycle considerations, governance, and deployment patterns. Provide expertise around Large Language Models (LLMs) and Generative AI , including infrastructure considerations, integration approaches, data boundaries, context management … complex enterprise environments. Strong experience designing AI-enabled or research-focused technology platforms . Demonstrable exposure to Machine Learning Operations (MLOps) including deployment models, validation, governance, and operational processes. Experience with Large Language Models (LLMs)/Generative AI , with an understanding of infrastructure and architectural considerations. Strong cloud architecture ...

marketing analytics, and commercial decision-making This role sits between an external modelling partner and internal marketing stakeholders, ensuring high-quality data inputs, robust model outputs, and clear translation of insights into actionable media investment decisions You’ll play a key role in helping the business understand what … maintain existing SQL and R data pipelines to extract, validate, and supply modelling datasets Ensure data quality and integrity through structured checks and validation processes Review and challenge model outputs from the agency to ensure accuracy, consistency, and business relevance Run scenario planning exercises using agency tooling ...

platforms Build robust observer architectures using EKF, UKF, Kalman Filters, MPC, and probabilistic estimation techniques Deploy real-time embedded algorithm solutions Lead simulation-based validation activities using representative drive cycles and ageing scenarios Analyse cell, module, and pack-level datasets to identify performance limitations and edge cases Support algorithm … validation through cell testing and data interpretation Collaborate with modelling, validation, embedded software, and systems engineering teams Produce technical documentation covering validation, assumptions, and performance metrics Required Experience: Degree in Mathematics, Physics, Electrical Engineering, Mechanical Engineering, Statistics, Computer Science, or related STEM discipline Experience developing estimation ...

Senior Quantitative Developer/Research & Data Engineer Research & Data Engineer UNITED KINGDOM Senior Quantitative Developer/Research & Data Engineer - LONDON - UNITED KINGDOM Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks Secondary Skills - distributed ...

Provide detailed statistical analysis of ideas under review. Put forward your own game design ideas Work with the Engineering Teams that create the math model in a game Document model data, structure and implementation details Validate that game engine statistics match the math model Help troubleshoot … engineering team’s implementation of a model Contribute to the continuous improvement of the math development process Support existing math models and features Keep up to date with industry practices and developments What you’ll NEED A degree in Mathematics/Statistics, Computer Science or equivalent Excellent problem-solving ...

Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco ...

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...

capture, analyse, document, and prioritise business requirements and functional specifications across Legal, Compliance, Technology, and Operations. Contribute to future‐state business architecture and operating model design to support new and existing Blockchain/DLT use cases. Collaborate with cybersecurity, risk, and controls teams to implement governance and regulatory requirements … evidence needed for approvals. Drive documentation and delivery of end‐to‐end business workflows for tokenisation and on‐chain settlement models, coordinating testing/validation and launch readiness across teams. Monitor internal and external blockchain/DLT capabilities and vendors; synthesise options and trade‐offs (feasibility, maturity, cost, time ...

This job is with CGI, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. MS Dynamics Technical Architect Position Description ...

Build and optimise models for constrained edge hardware Apply quantisation, pruning, and compression techniques to hit strict power and latency targets Work across a model family spanning compact architectures up to transformer and SSM approaches Collaborate with hardware engineers to validate model–accelerator integration Design rigorous experiments ...

mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation. Strong Java experience is required because the team works primarily in a Java-based environment. Specifically need someone who understands both quantitative modelling … high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production efficiency. Candidates from organizations or platforms such as Murex, Calypso, Numerix ...